Triple

T1609548
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Standard Time E34584 entity
Predicate isFixedOffsetTimeZone P4886 FINISHED
Object yes 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: yes | Statement: [Pakistan Standard Time, isFixedOffsetTimeZone, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFixedOffsetTimeZone
Context triple: [Pakistan Standard Time, isFixedOffsetTimeZone, yes]
  • A. isFixedOffsetFromUTC chosen
    Indicates that one time-related entity consistently differs from Coordinated Universal Time (UTC) by a specific, unchanging offset.
  • B. timeOffsetType
    Indicates the type or category of temporal offset that specifies how one time point is shifted relative to another.
  • C. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • D. UTCOffsetDaylightSavingTime
    Indicates the time difference from Coordinated Universal Time (UTC) that applies to an entity specifically during daylight saving time periods.
  • E. isDaylightSavingShift
    Indicates that a change in local clock time occurs due to the start or end of daylight saving time.
  • 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.