Triple

T7936747
Position Surface form Disambiguated ID Type / Status
Subject Object Management Group E184304 entity
Predicate knownFor P22 FINISHED
Object MOF
MOF (Meta-Object Facility) is a standard framework defined by the Object Management Group for specifying, constructing, and managing technology-neutral metamodels in model-driven engineering.
 E699639 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: MOF | Statement: [Object Management Group, knownFor, MOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOF
Context triple: [Object Management Group, knownFor, MOF]
  • A. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • B. MFO
    MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
  • C. MOSIF
    MOSIF is an alternative name associated with BepiColombo, the joint ESA–JAXA mission to study the planet Mercury.
  • D. Mol
    Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
  • E. MoHUA
    MoHUA is the central government ministry in India responsible for formulating and implementing policies and programs related to housing, urban development, and urban infrastructure.
  • 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: MOF
Triple: [Object Management Group, knownFor, MOF]
Generated description
MOF (Meta-Object Facility) is a standard framework defined by the Object Management Group for specifying, constructing, and managing technology-neutral metamodels in model-driven engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOF
Target entity description: MOF (Meta-Object Facility) is a standard framework defined by the Object Management Group for specifying, constructing, and managing technology-neutral metamodels in model-driven engineering.
  • A. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • B. MFO
    MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
  • C. MOSIF
    MOSIF is an alternative name associated with BepiColombo, the joint ESA–JAXA mission to study the planet Mercury.
  • D. Mol
    Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
  • E. MoHUA
    MoHUA is the central government ministry in India responsible for formulating and implementing policies and programs related to housing, urban development, and urban infrastructure.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aede3cc81908b0d3b54e68997b9 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0a96ac819099ad30fb925eb329 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7634f4dc8190b5e537f24bccd651 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb67e77a48190b93c6ba61becfac4 completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.