Triple

T8510508
Position Surface form Disambiguated ID Type / Status
Subject Placentia, Newfoundland and Labrador E201439 entity
Predicate timeOffsetUTCDaylight P713 FINISHED
Object −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: −02:30 | Statement: [Placentia, Newfoundland and Labrador, timeOffsetUTCDaylight, −02:30]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOffsetUTCDaylight
Context triple: [Placentia, Newfoundland and Labrador, timeOffsetUTCDaylight, −02:30]
  • A. timeOffsetType
    Indicates the type or category of temporal offset that specifies how one time point is shifted relative to another.
  • B. UTCOffsetDaylightSavingTime chosen
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • C. timeOffsetReference
    Indicates that a temporal value is specified relative to a particular reference time or event, defining the offset between them.
  • D. 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.
  • E. offsetInSecondsFromUTC
    Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe608e5b08190a6d551793e8ed94b completed March 31, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69cbd10cfd208190a519049fad32c508 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:15 p.m.