Triple

T1609550
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Standard Time E34584 entity
Predicate DSTExperimentYears P12956 FINISHED
Object various years including late 20th and early 21st century 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: various years including late 20th and early 21st century | Statement: [Pakistan Standard Time, DSTExperimentYears, various years including late 20th and early 21st century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: DSTExperimentYears
Context triple: [Pakistan Standard Time, DSTExperimentYears, various years including late 20th and early 21st century]
  • A. DSTChangeYear
    Indicates the specific year in which a daylight saving time (DST) change occurs or is scheduled to occur.
  • B. hasHistoricalPermanentDSTExperiment chosen
    Indicates that an entity has undergone a historically significant, long-term or permanent daylight saving time experiment or trial.
  • C. 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.
  • D. DSTobserved
    Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
  • E. DSTPolicy
    Indicates a relationship where a timekeeping system follows a specific daylight saving time policy, defining how and when clocks are adjusted seasonally.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a93fa6926081908bc78d15c0be3185 completed March 5, 2026, 8:32 a.m.
PD Predicate disambiguation batch_69a907c35f848190a2428c52e81d013e completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.