Triple

T34219841
Position Surface form Disambiguated ID Type / Status
Subject West Kazakhstan Time E877893 entity
Predicate isOneOfTimeZonesOf P3413 FINISHED
Object Kazakhstan NE NERFINISHED

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: Kazakhstan | Statement: [West Kazakhstan Time, isOneOfTimeZonesOf, Kazakhstan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOneOfTimeZonesOf
Context triple: [West Kazakhstan Time, isOneOfTimeZonesOf, Kazakhstan]
  • A. isOneOfLatestTimeZones
    Indicates that an entity belongs to the most recently defined or updated set of time zones in the system.
  • B. isLocatedInTimeZoneRegion
    Indicates that one entity exists within or is associated with the temporal boundaries defined by a specific time zone region.
  • C. hasTimeZones chosen
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • D. isSingleTimeZoneForCountry
    Indicates that a country uses a single, uniform time zone throughout its entire territory.
  • E. isOneOfIndonesiaTimeZones
    Indicates that the entity operates within, or is assigned to, one of the officially recognized time zones used in Indonesia.
  • F. None of above.

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_69f349b0b4bc819088c1552424089ee9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: May 1, 2026, 1:55 a.m.