Triple

T19955635
Position Surface form Disambiguated ID Type / Status
Subject Turkey at the Winter Olympic Games E479673 entity
Predicate NOCCode P39350 FINISHED
Object TUR 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: TUR | Statement: [Turkey at the Winter Olympic Games, NOCCode, TUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUR
Context triple: [Turkey at the Winter Olympic Games, NOCCode, TUR]
  • A. TUR chosen
    TUR is the FIFA country code for Turkey, a transcontinental nation whose football teams compete in UEFA competitions.
  • B.
    TÜ is the official vehicle registration code used on license plates for the district of Tübingen in Germany.
  • C. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • D. TURKPA
    TURKPA is a regional interparliamentary organization that brings together the legislative bodies of Turkic-speaking countries to promote political dialogue, cooperation, and integration.
  • E. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • 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.