Triple

T10361322
Position Surface form Disambiguated ID Type / Status
Subject Kurram Agency E244138 entity
Predicate religiousTension P9745 FINISHED
Object Shia–Sunni 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: Shia–Sunni conflict | Statement: [Kurram Agency, religiousTension, Shia–Sunni conflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousTension
Context triple: [Kurram Agency, religiousTension, Shia–Sunni conflict]
  • A. religiousConflictBetween chosen
    Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
  • B. religiousControversy
    Indicates a relationship in which entities are involved in a dispute, conflict, or debate specifically concerning religious beliefs, practices, or institutions.
  • C. religiousSide
    Indicates that one entity is aligned with, belongs to, or represents a particular religious faction, denomination, or side in a religious context.
  • D. religiousConflictPeriod
    Indicates a period of time during which conflicts or hostilities occur that are primarily motivated or structured by religious differences or tensions.
  • E. religiousTrend
    Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96209548190957368ee8c6a9ec3 completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 11:59 a.m.