Triple

T1423463
Position Surface form Disambiguated ID Type / Status
Subject TRT E30277 entity
Predicate previousStandardTimeInTurkey P28933 FINISHED
Object EET LITERAL 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: EET | Statement: [TRT, previousStandardTimeInTurkey, EET]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousStandardTimeInTurkey
Context triple: [TRT, previousStandardTimeInTurkey, EET]
  • A. observedAsStandardTimeIn
    Indicates that a particular time standard is used as the official or standard time within a specified place or region.
  • B. timeZonePractice
    Indicates that an entity conducts activities or operations according to a particular time zone or set of time zone rules.
  • C. isStandardTimeFor
    Indicates that a specified time zone or region is currently observing its standard (non-daylight-saving) time.
  • D. UTCOffsetStandardTime
    Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
  • E. standardTimeName
    Indicates the official name assigned to a particular standard time used in a region or context.
  • F. None of above. chosen

Provenance (4 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c52e4ed881908d85e0cb9fe851ac completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c4752abc8190a33b634c4d6fad28 completed March 1, 2026, 10:57 p.m.
PDg Predicate description generation batch_69a4c52bbb748190aaa804438d31f4c2 completed March 1, 2026, 11 p.m.
Created at: March 1, 2026, 8 p.m.