Triple

T19875680
Position Surface form Disambiguated ID Type / Status
Subject Lebanon and Israel E477628 entity
Predicate religiousCompositionFactor P103808 FINISHED
Object Muslim–Jewish–Christian regional tensions 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: Muslim–Jewish–Christian regional tensions | Statement: [Lebanon and Israel, religiousCompositionFactor, Muslim–Jewish–Christian regional tensions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousCompositionFactor
Context triple: [Lebanon and Israel, religiousCompositionFactor, Muslim–Jewish–Christian regional tensions]
  • A. hasReligiousComposition chosen
    Indicates that an entity is characterized by or associated with a particular religious makeup, affiliation, or set of religious components.
  • B. religiousCompositionHistorical
    Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
  • C. racialComposition
    Indicates the proportional makeup of different racial groups within a given population or entity.
  • D. religiousConstituency
    Indicates that one entity serves as a religious constituency or faith-based voter base for another entity, typically in a political or organizational context.
  • E. ethnicPluralityOf
    Indicates that one ethnic group constitutes the largest share of the population within a given place or entity, though not necessarily an absolute majority.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658db058c8190b7bf0b003ead5bfc completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.