Triple

T19955568
Position Surface form Disambiguated ID Type / Status
Subject Turkish National Olympic Committee E479671 entity
Predicate usesAbbreviation P43 FINISHED
Object TMOK NE NERFINISHED

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: TMOK | Statement: [Turkish National Olympic Committee, usesAbbreviation, TMOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TMOK
Context triple: [Turkish National Olympic Committee, usesAbbreviation, TMOK]
  • A. TMOK chosen
    TMOK is the Turkish National Olympic Committee responsible for organizing Turkey's participation in the Olympic Games and promoting the Olympic movement in the country.
  • B. TM
    TM is the commonly used abbreviation for Teller-Morrow Automotive Repair, the fictional motorcycle garage and clubhouse featured in the television series "Sons of Anarchy."
  • C. TM
    TM is a widely practiced form of Transcendental Meditation that involves silently repeating a mantra to promote relaxation, stress reduction, and personal development.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. TMMK
    TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aefd9488190b8cdfa8543db8d31 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.