Triple

T6405163
Position Surface form Disambiguated ID Type / Status
Subject Organising Committees for the Olympic Games E144160 entity
Predicate abbreviatedAs P43 FINISHED
Object OCOG
OCOG is the standard acronym for the temporary local bodies responsible for planning and staging each edition of the Olympic Games.
 E589905 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: OCOG | Statement: [Organising Committees for the Olympic Games, abbreviatedAs, OCOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OCOG
Context triple: [Organising Committees for the Olympic Games, abbreviatedAs, OCOG]
  • A. OCGS
    OCGS is a specialized unit focused on investigating and prosecuting organized crime and gang-related criminal activity.
  • B. COG
    COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
  • C. POCOG
    POCOG is the organizing committee responsible for planning and hosting the 2018 PyeongChang Winter Olympic and Paralympic Games in South Korea.
  • D. OVC
    OVC is a collegiate athletic conference in the NCAA Division I, primarily comprising universities from the Midwestern and Southern United States.
  • E. OVC
    OVC is the Office for Victims of Crime, a U.S. Department of Justice agency that supports and advocates for victims of crime through funding, training, and policy development.
  • 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: OCOG
Triple: [Organising Committees for the Olympic Games, abbreviatedAs, OCOG]
Generated description
OCOG is the standard acronym for the temporary local bodies responsible for planning and staging each edition of the Olympic Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OCOG
Target entity description: OCOG is the standard acronym for the temporary local bodies responsible for planning and staging each edition of the Olympic Games.
  • A. OCGS
    OCGS is a specialized unit focused on investigating and prosecuting organized crime and gang-related criminal activity.
  • B. COG
    COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
  • C. POCOG
    POCOG is the organizing committee responsible for planning and hosting the 2018 PyeongChang Winter Olympic and Paralympic Games in South Korea.
  • D. OVC
    OVC is a collegiate athletic conference in the NCAA Division I, primarily comprising universities from the Midwestern and Southern United States.
  • E. OVC
    OVC is the Office for Victims of Crime, a U.S. Department of Justice agency that supports and advocates for victims of crime through funding, training, and policy development.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068b22c74819092228010708aec6b completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638aaed0c8190939e751af7c3fa80 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c6395e934c81909bfa10ee1b8e517f completed March 27, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69c63a0a4a108190b474555d8cb1540c completed March 27, 2026, 8:04 a.m.
Created at: March 22, 2026, 4:35 p.m.