Triple

T27904357
Position Surface form Disambiguated ID Type / Status
Subject Asia/Jerusalem E705725 entity
Predicate hasSingleNationalZone 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: [Asia/Jerusalem, hasSingleNationalZone, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSingleNationalZone
Context triple: [Asia/Jerusalem, hasSingleNationalZone, 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. hasZone
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • D. hasTimeZones
    Indicates that an entity is associated with one or more time zones in which it is valid or operates.
  • E. hasZoneStructure
    Indicates that an entity possesses a defined internal division into zones or regions, each forming part of its overall structure.
  • 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_69ef96b5aad08190be36a277c31e7004 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 27, 2026, 6:44 p.m.