Triple

T9648537
Position Surface form Disambiguated ID Type / Status
Subject Birzeit E233270 entity
Predicate hasChristianMinority P79727 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: [Birzeit, hasChristianMinority, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChristianMinority
Context triple: [Birzeit, hasChristianMinority, yes]
  • A. religionMinority
    Indicates that the subject’s religion is a minority faith within the relevant population or context.
  • B. hasChristianCommunity
    Indicates that a place or entity possesses or hosts an established Christian community.
  • C. hasMajorChristianDenomination
    Indicates that an entity (typically a religion, region, or population) includes or is associated with a principal branch or major denomination of Christianity.
  • D. hasMinorityIn
    Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
  • E. religionSignificantMinorityRegion chosen
    Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bac55b48190ab2a8f9bb83c951e completed April 1, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69ccd5b0263081908cf6df3eb07d71b0 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:13 p.m.