Triple

T2442748
Position Surface form Disambiguated ID Type / Status
Subject KSMF E53314 entity
Predicate DST P8084 FINISHED
Object observes daylight saving 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: observes daylight saving time | Statement: [KSMF, DST, observes daylight saving time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: DST
Context triple: [KSMF, DST, observes daylight saving time]
  • A. DSTType
    Indicates the type or classification of daylight saving time (DST) applied to a given time zone or region.
  • B. DSTseason
    Indicates that the relationship specifies the daylight saving time (DST) period or season during which a time-related event or setting is in effect.
  • C. DSTobserved chosen
    Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
  • D. DSTcounterpart
    Indicates a correspondence between two time-related entities that are equivalent except for a daylight saving time adjustment.
  • E. DSTTimeZone
    Indicates that a time-related entity operates under a daylight saving time rule or belongs to a time zone that observes 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcabf477081908512df63ac1a6414 completed March 7, 2026, 6:50 a.m.
PD Predicate disambiguation batch_69abc5ad8e588190b97c4cd7cf575043 completed March 7, 2026, 6:29 a.m.
Created at: March 6, 2026, 9:43 p.m.