Triple

T7991217
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Boğaziçi University E186009 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: [Faculty of Engineering, Boğaziçi University, locatedInTimeZone, TRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRT
Context triple: [Faculty of Engineering, Boğaziçi University, locatedInTimeZone, TRT]
  • A. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • B. TRT chosen
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • 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. TRTA
    TRTA is the acronym for the Tahoe Rim Trail Association, a nonprofit organization dedicated to building, maintaining, and promoting the Tahoe Rim Trail around Lake Tahoe.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe072ef4c8190a8e078c5280913db completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:16 p.m.