Triple

T20506902
Position Surface form Disambiguated ID Type / Status
Subject Daylight saving time (United States) E503457 entity
Predicate timeOffsetEffect P140354 FINISHED
Object advances local civil time by one hour relative to standard time 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: advances local civil time by one hour relative to standard time | Statement: [Daylight saving time (United States), timeOffsetEffect, advances local civil time by one hour relative to standard time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOffsetEffect
Context triple: [Daylight saving time (United States), timeOffsetEffect, advances local civil time by one hour relative to standard time]
  • A. timeOffsetType
    Indicates the type or category of temporal offset that specifies how one time point is shifted relative to another.
  • B. timeOffsetReference
    Indicates that a temporal value is specified relative to a particular reference time or event, defining the offset between them.
  • C. timeOffsetInHours
    Indicates the temporal difference between two time points or events, measured in hours.
  • D. hasTimeOffset
    Indicates that one temporal value is shifted or displaced from another by a specified amount of time.
  • E. timeShiftProperty
    Indicates a relationship where one property value is derived from another by applying a temporal shift (e.g., offsetting it to an earlier or later point in time).
  • F. None of above. chosen

Provenance (4 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc82dd0819085d64d65a1e72c70 completed April 20, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69e59fcdf6e08190a604204615dc56e6 completed April 20, 2026, 3:38 a.m.
PDg Predicate description generation batch_69e5a6a824748190bbe6192d73f3c613 completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:36 a.m.