Triple

T580228
Position Surface form Disambiguated ID Type / Status
Subject Easter Island Standard Time E15039 entity
Predicate differenceFromChileStandardTimeHours P15744 FINISHED
Object -2 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: -2 | Statement: [Easter Island Standard Time, differenceFromChileStandardTimeHours, -2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differenceFromChileStandardTimeHours
Context triple: [Easter Island Standard Time, differenceFromChileStandardTimeHours, -2]
  • A. offsetRelativeToChileStandardTime
    Indicates that a time value is expressed as an offset relative to Chile Standard Time (its base time zone).
  • B. differenceFromChinaStandardTime
    Indicates the time offset or deviation of something’s time setting relative to China Standard Time.
  • C. differenceFromUSEasternDaylightTime
    Indicates that one temporal value differs by a specified amount or offset from the time expressed in US Eastern Daylight Time.
  • D. differenceFromUSEasternStandardTime
    Indicates the time offset or deviation of something’s time setting relative to U.S. Eastern Standard Time.
  • E. differenceFromPakistanStandardTime
    Indicates the time offset or deviation of a given time or timezone relative to Pakistan Standard Time.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b82b5248190ac863407e8207a3b completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494c7f9008190bd8d05b4dc2a7c7f completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985a2d08819090947895d9439e06 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.