Triple

T1609538
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Standard Time E34584 entity
Predicate hasSingleNationalTimeZone P4883 FINISHED
Object true 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: true | Statement: [Pakistan Standard Time, hasSingleNationalTimeZone, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSingleNationalTimeZone
Context triple: [Pakistan Standard Time, hasSingleNationalTimeZone, true]
  • A. hasNumberOfNationalTimeZones
    Indicates the quantity of distinct official time zones that a nation or country uses within its territory.
  • B. isSingleTimeZoneForCountry chosen
    Indicates that a country uses a single, uniform time zone throughout its entire territory.
  • C. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • D. timeZoneDependence
    Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
  • E. hasNoSeasonalClockChanges
    Indicates that a place or system does not adjust its clocks for seasonal time changes such as 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.