Triple

T20691267
Position Surface form Disambiguated ID Type / Status
Subject FJT E508555 entity
Predicate UTCOffsetDuringDaylightSaving P713 FINISHED
Object +13:00 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: +13:00 | Statement: [FJT, UTCOffsetDuringDaylightSaving, +13:00]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UTCOffsetDuringDaylightSaving
Context triple: [FJT, UTCOffsetDuringDaylightSaving, +13:00]
  • A. UTCOffsetDaylightSavingTime chosen
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • B. DSTOffsetType
    Indicates the relationship between a time reference and the amount of time it is shifted from standard time due to daylight saving time adjustments.
  • C. timeOffsetInHours
    Indicates the temporal difference between two time points or events, measured in hours.
  • D. daylightSavingTimeHemisphere
    Indicates the hemisphere (e.g., northern or southern) in which a location follows a particular daylight saving time pattern.
  • E. offsetDSTApprox
    Indicates an approximate time offset between entities that accounts for daylight saving time adjustments.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10d83548190a52b9ef84c8f9205 completed April 21, 2026, 12:13 a.m.
PD Predicate disambiguation batch_69e5c03caee881908be4dd25796a03d5 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:08 p.m.