Triple

T5932462
Position Surface form Disambiguated ID Type / Status
Subject ICH Q9 Quality Risk Management E131968 entity
Predicate mentionsTool P831 FINISHED
Object Failure Mode and Effects Analysis
Failure Mode and Effects Analysis is a systematic, proactive method for identifying potential failures in a process, product, or system and evaluating their causes and effects to prioritize and mitigate risk.
E555154 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Failure Mode and Effects Analysis | Statement: [ICH Q9 Quality Risk Management, mentionsTool, Failure Mode and Effects Analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Failure Mode and Effects Analysis
Context triple: [ICH Q9 Quality Risk Management, mentionsTool, Failure Mode and Effects Analysis]
  • A. Lusser's law of series system reliability
    Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
  • B. ATAM (Architecture Tradeoff Analysis Method)
    ATAM (Architecture Tradeoff Analysis Method) is a structured software architecture evaluation approach that helps stakeholders analyze and compare quality attribute trade-offs and risks in complex systems.
  • C. Hazard Ranking System
    The Hazard Ranking System is a scoring tool used by the U.S. Environmental Protection Agency to assess the relative risk of contaminated sites and determine which ones qualify for inclusion on the Superfund National Priorities List.
  • D. Contingent-Owned Equipment Review Team
    The Contingent-Owned Equipment Review Team is a specialized UN body that inspects and verifies military and police equipment provided by troop- and police-contributing countries for use in peacekeeping operations.
  • E. INCOSE Systems Engineering Handbook
    The INCOSE Systems Engineering Handbook is a comprehensive reference guide that defines best practices, processes, and principles for the application of systems engineering across the entire system life cycle.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Failure Mode and Effects Analysis
Triple: [ICH Q9 Quality Risk Management, mentionsTool, Failure Mode and Effects Analysis]
Generated description
Failure Mode and Effects Analysis is a systematic, proactive method for identifying potential failures in a process, product, or system and evaluating their causes and effects to prioritize and mitigate risk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Failure Mode and Effects Analysis
Target entity description: Failure Mode and Effects Analysis is a systematic, proactive method for identifying potential failures in a process, product, or system and evaluating their causes and effects to prioritize and mitigate risk.
  • A. Lusser's law of series system reliability
    Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
  • B. ATAM (Architecture Tradeoff Analysis Method)
    ATAM (Architecture Tradeoff Analysis Method) is a structured software architecture evaluation approach that helps stakeholders analyze and compare quality attribute trade-offs and risks in complex systems.
  • C. Hazard Ranking System
    The Hazard Ranking System is a scoring tool used by the U.S. Environmental Protection Agency to assess the relative risk of contaminated sites and determine which ones qualify for inclusion on the Superfund National Priorities List.
  • D. Contingent-Owned Equipment Review Team
    The Contingent-Owned Equipment Review Team is a specialized UN body that inspects and verifies military and police equipment provided by troop- and police-contributing countries for use in peacekeeping operations.
  • E. INCOSE Systems Engineering Handbook
    The INCOSE Systems Engineering Handbook is a comprehensive reference guide that defines best practices, processes, and principles for the application of systems engineering across the entire system life cycle.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mentionsTool
Context triple: [ICH Q9 Quality Risk Management, mentionsTool, Failure Mode and Effects Analysis]
  • A. mentions chosen
    Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
  • B. mentionedWith
    Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
  • C. mentionedAs
    Indicates that one entity is referred to or cited by name or description in the context of another entity.
  • D. eraMentioned
    Indicates that a specific historical or temporal era is explicitly referenced or mentioned in a given context.
  • E. relatedTool
    Indicates that one tool has a meaningful association or connection with another tool, such as being complementary, compatible, or commonly used together.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03f26f51881908cc253fe5775a1fc completed March 22, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c109b3288190928dc4539a2872c2 completed March 23, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1f6fe60819080a00976740b6a9c completed March 23, 2026, 4:30 a.m.
PD Predicate disambiguation batch_69c03355caf08190b960563a1aed23f9 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4 p.m.