Triple

T4919787
Position Surface form Disambiguated ID Type / Status
Subject National Olympic Committee of France E110434 entity
Predicate hasAbbreviation P43 FINISHED
Object CNOSF E479648 NE FINISHED

How this triple was built (2 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: CNOSF | Statement: [National Olympic Committee of France, hasAbbreviation, CNOSF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNOSF
Context triple: [National Olympic Committee of France, hasAbbreviation, CNOSF]
  • A. CNOSF chosen
    CNOSF is the French National Olympic and Sports Committee, the governing body responsible for organizing France’s participation in the Olympic Games and promoting Olympic sports nationwide.
  • B. CNCS
    CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
  • C. ccNSO
    ccNSO is the ICANN supporting organization responsible for developing and recommending global policies relating to country-code top-level domains (ccTLDs).
  • D. NSO
    NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
  • E. CNSHA
    CNSHA is the UN/LOCODE identifier for the Port of Shanghai, one of the world’s busiest and most important container ports in China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6faa78b88190938bee2f81025083 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a41ca08190a8fbfa405b15d68c completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:29 p.m.