Triple
T10426499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusser's law |
E245802
|
entity |
| Predicate | field |
P3
|
FINISHED |
| Object |
reliability engineering
Reliability engineering is an engineering discipline focused on ensuring systems and components perform their intended functions dependably over time by analyzing, predicting, and improving their failure behavior.
|
E862602
|
NE FINISHED |
How this triple was built (4 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: reliability engineering | Statement: [Lusser's law, field, reliability engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: reliability engineering Context triple: [Lusser's law, field, reliability engineering]
-
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.
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.
-
C.
Industrial and Operations Engineering
Industrial and Operations Engineering is an engineering discipline focused on designing, optimizing, and managing complex systems, processes, and organizations to improve efficiency, quality, and productivity.
-
D.
Center for Advanced Life Cycle Engineering
The Center for Advanced Life Cycle Engineering is a leading research center specializing in the reliability, prognostics, and life-cycle management of electronic systems and products.
-
E.
Prognostics
Prognostics is an ancient medical treatise traditionally attributed to Hippocrates that focuses on predicting the course and outcome of diseases based on clinical signs.
- 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: reliability engineering Triple: [Lusser's law, field, reliability engineering]
Generated description
Reliability engineering is an engineering discipline focused on ensuring systems and components perform their intended functions dependably over time by analyzing, predicting, and improving their failure behavior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: reliability engineering Target entity description: Reliability engineering is an engineering discipline focused on ensuring systems and components perform their intended functions dependably over time by analyzing, predicting, and improving their failure behavior.
-
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.
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.
-
C.
Industrial and Operations Engineering
Industrial and Operations Engineering is an engineering discipline focused on designing, optimizing, and managing complex systems, processes, and organizations to improve efficiency, quality, and productivity.
-
D.
Center for Advanced Life Cycle Engineering
The Center for Advanced Life Cycle Engineering is a leading research center specializing in the reliability, prognostics, and life-cycle management of electronic systems and products.
-
E.
Prognostics
Prognostics is an ancient medical treatise traditionally attributed to Hippocrates that focuses on predicting the course and outcome of diseases based on clinical signs.
- F. None of above. chosen
Provenance (5 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea498ab08190b451c0b257c0711b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:12 p.m.