Triple

T6927823
Position Surface form Disambiguated ID Type / Status
Subject Seferihisar district E160355 entity
Predicate locatedInTimeZone P109 FINISHED
Object TRT E30277 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: TRT | Statement: [Seferihisar district, locatedInTimeZone, TRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRT
Context triple: [Seferihisar district, locatedInTimeZone, TRT]
  • A. TRT chosen
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • B. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • C. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • D. TRTA
    TRTA (Teito Rapid Transit Authority) was the former public corporation responsible for operating most of Tokyo’s subway network before its privatization into Tokyo Metro.
  • E. TRR
    TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1bf2088190a8ccfa01d9a1efc5 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514359148190b87b39efc8e714a8 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.