Triple

T38602793
Position Surface form Disambiguated ID Type / Status
Subject KBKF E934259 entity
Predicate usesStandardTimeZone P132463 FINISHED
Object Mountain Standard Time 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: Mountain Standard Time | Statement: [KBKF, usesStandardTimeZone, Mountain Standard Time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesStandardTimeZone
Context triple: [KBKF, usesStandardTimeZone, Mountain Standard Time]
  • A. hasStandardTimeZone chosen
    Indicates that an entity is associated with a particular standard time zone used to define its official local time.
  • B. hasStandardTimeUTCOffset
    Indicates the fixed difference in hours and minutes between an entity’s standard (non-daylight-saving) local time and Coordinated Universal Time (UTC).
  • C. isStandardTime
    Indicates that a given time value is expressed in standard (non-daylight-saving) time for its associated time zone.
  • D. isStandardTimeFor
    Indicates that a specified time zone or region is currently observing its standard (non-daylight-saving) time.
  • E. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • 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_69f76ecc17688190b389b693a5927501 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fe00dad1708190b6522476bebb43af completed May 8, 2026, 3:27 p.m.
PD Predicate disambiguation batch_69fdfc3717f48190bb50ac2919c8ef95 completed May 8, 2026, 3:07 p.m.
Created at: May 3, 2026, 4:32 p.m.