Triple

T2569794
Position Surface form Disambiguated ID Type / Status
Subject Armenia Time E57636 entity
Predicate offsetFromCoordinatedUniversalTimeInHours P4413 FINISHED
Object 4 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: 4 | Statement: [Armenia Time, offsetFromCoordinatedUniversalTimeInHours, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromCoordinatedUniversalTimeInHours
Context triple: [Armenia Time, offsetFromCoordinatedUniversalTimeInHours, 4]
  • 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. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • C. offsetFromUTC
    Indicates the time difference between a given time value and Coordinated Universal Time (UTC), typically expressed as an offset in hours and/or minutes.
  • D. offsetFromUTCInMinutes
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • E. offsetDSTDifferenceHours
    Indicates the difference in time zone offsets, measured in hours, that results specifically from the application of daylight saving 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd380d6e081909c124e8a0b7feef3 completed March 7, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69abd0cc8d308190ae7aa32b8f5ae2e5 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.