Triple

T1417775
Position Surface form Disambiguated ID Type / Status
Subject Sabiha Gokcen International Airport E31957 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: [Sabiha Gokcen International Airport, timezone, TRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRT
Context triple: [Sabiha Gokcen International Airport, 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. TT
    TT (Terrestrial Time) is a modern astronomical time standard used as the independent time variable in ephemerides and precise celestial mechanics, defined to provide a uniform time scale for observations from Earth's surface.
  • E. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5833bb88190bcaf8cf46264ab26 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.