Triple

T15870802
Position Surface form Disambiguated ID Type / Status
Subject Poso E384823 entity
Predicate religiousTensionHistory P9745 FINISHED
Object Muslim–Christian conflict 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–Christian conflict | Statement: [Poso, religiousTensionHistory, Muslim–Christian conflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousTensionHistory
Context triple: [Poso, religiousTensionHistory, Muslim–Christian conflict]
  • A. religiousConflictBetween chosen
    Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
  • B. religiousConflictPeriod
    Indicates a period of time during which conflicts or hostilities occur that are primarily motivated or structured by religious differences or tensions.
  • C. hasEthnicTensionHistory
    Indicates that there has been a history of conflict, strain, or hostility between ethnic groups within the referenced context.
  • D. religiousControversy
    Indicates a relationship in which entities are involved in a dispute, conflict, or debate specifically concerning religious beliefs, practices, or institutions.
  • E. religionHistoricallyAssociated
    Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142c3e18c8190bb7b023f4a0eaebb completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.