Triple

T7547596
Position Surface form Disambiguated ID Type / Status
Subject İsmail Cem E178444 entity
Predicate employer P7 FINISHED
Object TRT (Turkish Radio and Television Corporation) E331133 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 (Turkish Radio and Television Corporation) | Statement: [İsmail Cem, employer, TRT (Turkish Radio and Television Corporation)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TRT (Turkish Radio and Television Corporation)
Context triple: [İsmail Cem, employer, TRT (Turkish Radio and Television Corporation)]
  • A. TRT chosen
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • B. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • C. Kanal D
    Kanal D is a major Turkish television channel known for broadcasting popular series, entertainment programs, and news.
  • D. Pakistan Television Corporation
    Pakistan Television Corporation is Pakistan’s state-owned public television broadcaster, operating multiple national and regional channels that air news, entertainment, sports, and cultural programming.
  • E. Turkish State Railways
    Turkish State Railways is Turkey’s national railway company, responsible for operating and maintaining the country’s rail transport network, including high-speed train services.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.