Triple

T2786964
Position Surface form Disambiguated ID Type / Status
Subject Timor Leste Time E61833 entity
Predicate offsetInMinutes P5579 FINISHED
Object +540 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: +540 | Statement: [Timor Leste Time, offsetInMinutes, +540]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offsetInMinutes
Context triple: [Timor Leste Time, offsetInMinutes, +540]
  • A. offsetSeconds
    Indicates a temporal relationship where one event or time point occurs a specified number of seconds before or after another reference time.
  • B. offsetFromUTCInMinutes chosen
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • C. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • D. offsetMagnitudeHours
    Indicates the size of a time difference, measured in hours, between two temporal reference points.
  • E. 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.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
PD Predicate disambiguation batch_69abdd025c948190a97dd961a9592bac completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.