Triple

T5274075
Position Surface form Disambiguated ID Type / Status
Subject Fiji Time E119330 entity
Predicate offsetFromHawaiiStandardTime P61684 FINISHED
Object +22 hours 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: +22 hours | Statement: [Fiji Time, offsetFromHawaiiStandardTime, +22 hours]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromHawaiiStandardTime
Context triple: [Fiji Time, offsetFromHawaiiStandardTime, +22 hours]
  • A. relativeToHawaiiStandardTime
    Indicates that a time or date value is expressed in relation to Hawaii Standard Time as the reference time zone.
  • B. offsetFromAlaskaStandardTime
    Indicates the time difference between a given time value and Alaska Standard Time (AST), typically expressed as an offset in hours or minutes.
  • C. offsetFromAtlanticStandardTime
    Indicates the time difference, in hours or minutes, between a given time reference and Atlantic Standard Time.
  • D. offsetFromJapanStandardTimeHours
    Indicates the number of hours by which a time value is ahead of or behind Japan Standard Time.
  • E. offsetFromJapanStandardTime
    Indicates the time difference between a given time zone or time value and Japan Standard Time (JST), typically 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c22a29081908a022847e61af8a9 completed March 20, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69bd77c83d1c8190bd8b9616113d413c completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd782108bc8190be68ccce09cfd3ef completed March 20, 2026, 4:38 p.m.
Created at: March 20, 2026, 1:51 p.m.