Triple

T5726506
Position Surface form Disambiguated ID Type / Status
Subject island of Newfoundland E126278 entity
Predicate timeOffsetDaylightSaving P713 FINISHED
Object UTC−02:30 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: UTC−02:30 | Statement: [island of Newfoundland, timeOffsetDaylightSaving, UTC−02:30]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOffsetDaylightSaving
Context triple: [island of Newfoundland, timeOffsetDaylightSaving, UTC−02:30]
  • A. UTCOffsetDaylightSavingTime chosen
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • B. timeOffsetType
    Indicates the type or category of temporal offset that specifies how one time point is shifted relative to another.
  • C. timeOffsetReference
    Indicates that a temporal value is specified relative to a particular reference time or event, defining the offset between them.
  • D. daylightSavingTimeHemisphere
    Indicates the hemisphere (e.g., northern or southern) in which a location follows a particular daylight saving time pattern.
  • E. 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.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c021c6488881909bed4a4534d57f70 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:47 p.m.