Triple

T18454225
Position Surface form Disambiguated ID Type / Status
Subject Europe/Stockholm E450861 entity
Predicate offsetFromUTCInMinutesStandard P5579 FINISHED
Object 60 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: 60 | Statement: [Europe/Stockholm, offsetFromUTCInMinutesStandard, 60]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetFromUTCInMinutesStandard
Context triple: [Europe/Stockholm, offsetFromUTCInMinutesStandard, 60]
  • A. offsetFromUTCInMinutes chosen
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • B. offsetFromStandardTime
    Indicates the time difference between a given local time and the corresponding standard time for that location.
  • C. 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.
  • D. 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.
  • E. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264b200c8190be2e79ca5ea0b082 completed April 19, 2026, 7 p.m.
PD Predicate disambiguation batch_69e469d05cf4819099baf1665a9cf18a completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:31 a.m.