Triple

T2786920
Position Surface form Disambiguated ID Type / Status
Subject Palau Time E61832 entity
Predicate timeInAdvanceOfUTC P19135 FINISHED
Object 9 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: 9 hours | Statement: [Palau Time, timeInAdvanceOfUTC, 9 hours]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeInAdvanceOfUTC
Context triple: [Palau Time, timeInAdvanceOfUTC, 9 hours]
  • A. hoursAheadOfUTC chosen
    Indicates the number of hours by which a given time or timezone is offset ahead of Coordinated Universal Time (UTC).
  • B. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • C. previousUTCOffset
    Indicates the UTC time offset that applied to an entity (such as a timezone or location) immediately before the current or given offset.
  • D. timeOffsetReference
    Indicates that a temporal value is specified relative to a particular reference time or event, defining the offset between them.
  • E. isOneHourAheadOf
    Indicates that one entity’s local time is exactly one hour later than the other entity’s local time.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
PD Predicate disambiguation batch_69abdd025c948190a97dd961a9592bac completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.