Triple

T11651685
Position Surface form Disambiguated ID Type / Status
Subject KHI E276917 entity
Predicate airportTimeZoneUTCOffset P712 FINISHED
Object +05:00 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: +05:00 | Statement: [KHI, airportTimeZoneUTCOffset, +05:00]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airportTimeZoneUTCOffset
Context triple: [KHI, airportTimeZoneUTCOffset, +05:00]
  • A. airportTimeZone
    Indicates the time zone in which an airport is located or operates.
  • B. hoursAheadOfUTC
    Indicates the number of hours by which a given time or timezone is offset ahead of Coordinated Universal Time (UTC).
  • C. capitalTimeZoneOf
    Indicates that a specified time zone is the primary or official time zone in which a given capital city is located or operates.
  • D. UTCOffsetStandardTime chosen
    Indicates the time difference, in hours and minutes, that a location’s standard (non-daylight-saving) local time has from Coordinated Universal Time (UTC).
  • E. timeOffsetInHours
    Indicates the temporal difference between two time points or events, measured in hours.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2d01f9c8190849f252f22519550 completed April 10, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.