Triple

T10141297
Position Surface form Disambiguated ID Type / Status
Subject Kiryat Tiv'on E231588 entity
Predicate hasJewishMajority P21204 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: [Kiryat Tiv'on, hasJewishMajority, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasJewishMajority
Context triple: [Kiryat Tiv'on, hasJewishMajority, yes]
  • A. hasJewishCommunityHistory
    Indicates that there is a documented history of a Jewish community being present, active, or influential in relation to the subject.
  • B. hasMinorityIn
    Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
  • C. hadSignificantJewishPopulationBeforeWorldWarII
    Indicates that the subject place or region had a notably large or influential Jewish community prior to the outbreak of World War II.
  • D. hasJewishInstitution
    Indicates that a place, organization, or entity possesses, hosts, or is associated with a Jewish religious, cultural, or educational institution.
  • E. demographicMajority chosen
    Indicates that one group constitutes more than half of the population within a specified context or area.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
PD Predicate disambiguation batch_69cd4ba4f5d88190ba68e63be10b08c7 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:07 p.m.