Triple

T7872715
Position Surface form Disambiguated ID Type / Status
Subject Hospet E182776 entity
Predicate timeZoneOffsetFromUTC P25647 FINISHED
Object +05:30 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: +05:30 | Statement: [Hospet, timeZoneOffsetFromUTC, +05:30]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeZoneOffsetFromUTC
Context triple: [Hospet, timeZoneOffsetFromUTC, +05:30]
  • A. 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.
  • B. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • C. timeOffsetType
    Indicates the type or category of temporal offset that specifies how one time point is shifted relative to another.
  • D. offsetFromUTCInMinutes
    Indicates the number of minutes by which a given time value differs from Coordinated Universal Time (UTC), positive or negative.
  • E. offsetFromUTC chosen
    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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69cae928e1b88190b0620f4c4f03bc7d completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:56 p.m.