Triple

T26059718
Position Surface form Disambiguated ID Type / Status
Subject Kortrijk–Wevelgem International Airport E657223 entity
Predicate usesTimeOffsetStandard P10251 FINISHED
Object UTC+1 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: UTC+1 | Statement: [Kortrijk–Wevelgem International Airport, usesTimeOffsetStandard, UTC+1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTimeOffsetStandard
Context triple: [Kortrijk–Wevelgem International Airport, usesTimeOffsetStandard, UTC+1]
  • A. hasStandardTimeUTCOffset
    Indicates the fixed difference in hours and minutes between an entity’s standard (non-daylight-saving) local time and Coordinated Universal Time (UTC).
  • B. usesUTCOffset chosen
    Indicates that one entity applies or relies on the specified UTC time offset for timekeeping or timestamp interpretation.
  • C. isStandardTime
    Indicates that a given time value is expressed in standard (non-daylight-saving) time for its associated time zone.
  • D. UTCOffsetStandardTime
    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. hasTimeOffset
    Indicates that one temporal value is shifted or displaced from another by a specified amount of time.
  • 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_69ee5bbd788481909e22bd7153d0c037 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f612607c388190ab61d1ac7d18e08d completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
Created at: April 26, 2026, 7:15 p.m.