Triple

T27904353
Position Surface form Disambiguated ID Type / Status
Subject Asia/Jerusalem E705725 entity
Predicate offsetFromUtcDaylightSeconds P134662 FINISHED
Object 10800 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: 10800 | Statement: [Asia/Jerusalem, offsetFromUtcDaylightSeconds, 10800]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromUtcDaylightSeconds
Context triple: [Asia/Jerusalem, offsetFromUtcDaylightSeconds, 10800]
  • A. offsetFromUTCDST chosen
    Indicates that the time value is offset from Coordinated Universal Time (UTC) by a specified amount that applies during daylight saving time.
  • 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. offsetFromUTCNonDST
    Indicates the time difference between a local time zone and Coordinated Universal Time (UTC) during periods when daylight saving time is not in effect.
  • E. offsetFromUTCInHours
    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.
  • 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_69ef96b5aad08190be36a277c31e7004 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6895f0819088655277e45859a8 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 6:44 p.m.