Triple

T105806
Position Surface form Disambiguated ID Type / Status
Subject Japan Standard Time E2133 entity
Predicate isFixedOffsetFromUTC P4886 FINISHED
Object true 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: true | Statement: [Japan Standard Time, isFixedOffsetFromUTC, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFixedOffsetFromUTC
Context triple: [Japan Standard Time, isFixedOffsetFromUTC, true]
  • A. offsetFromUTCInHours
    Indicates the number of hours a time value is offset from Coordinated Universal Time (UTC), positive for time zones ahead and negative for those behind.
  • B. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • C. typicalOffsetFromPacificTime
    Indicates the usual time difference between a given time zone and Pacific Time (PT), without accounting for temporary variations like daylight saving changes.
  • D. observesDaylightSavingTime
    Indicates that an entity adjusts its standard time forward and backward according to a daylight saving time schedule.
  • E. typicalOffsetFromCentralTime
    Indicates the usual time difference between a given time zone and Central Time (CT), expressed as an offset in hours or minutes.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563d33788190999d471b486d5603 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256ea776081908fec36c3fdfb8d84 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.