Triple

T3104338
Position Surface form Disambiguated ID Type / Status
Subject Erzurum E64794 entity
Predicate timeZone 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: [Erzurum, timeZone, TRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRT
Context triple: [Erzurum, timeZone, TRT]
  • A. TRT chosen
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • B. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • C. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • D. TRC
    TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
  • E. TRE
    TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26f376c8190a049399e33314d52 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203846a108190a97c30c463e119b1 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.