Triple

T12353433
Position Surface form Disambiguated ID Type / Status
Subject Göreme E294548 entity
Predicate timeZone P109 FINISHED
Object TRT (Turkey Time) 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 (Turkey Time) | Statement: [Göreme, timeZone, TRT (Turkey Time)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRT (Turkey Time)
Context triple: [Göreme, timeZone, TRT (Turkey Time)]
  • A. TRT
    TRT is the station code for Tartu railway station, the main rail transport hub in the city of Tartu, Estonia.
  • B. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • C. TRT chosen
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • D. Turkish Radio and Television Corporation
    The Turkish Radio and Television Corporation is Turkey’s national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • E. Turkmenistan Time
    Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8aa33c8190b22b7dff9559b8ed completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab2dc30819082b12fa35f585762 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.