Triple

T148484
Position Surface form Disambiguated ID Type / Status
Subject GMT E3380 entity
Predicate timeOffsetFromUTC P4413 FINISHED
Object UTC+00:00 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: UTC+00:00 | Statement: [GMT, timeOffsetFromUTC, UTC+00:00]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOffsetFromUTC
Context triple: [GMT, timeOffsetFromUTC, UTC+00:00]
  • A. offsetFromUTCInHours chosen
    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. UTCOffsetStandardTime
    Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
  • D. typicalOffsetFromCentralTime
    Indicates the usual time difference between a given time zone and Central Time (CT), expressed as an offset in hours or minutes.
  • E. typicalOffsetFromPacificTime
    Indicates the usual time difference between a given time zone and Pacific Time (PT), without accounting for temporary variations like daylight saving changes.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ecb6f48190992c4c8ca908a81c completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a256599db08190a7b000b381d32ec4 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.