Triple

T5673361
Position Surface form Disambiguated ID Type / Status
Subject Islam in Egypt E125026 entity
Predicate hasConflictIssue P61381 FINISHED
Object debates over Sharia implementation 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: debates over Sharia implementation | Statement: [Islam in Egypt, hasConflictIssue, debates over Sharia implementation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConflictIssue
Context triple: [Islam in Egypt, hasConflictIssue, debates over Sharia implementation]
  • A. hasConflictStatus
    Indicates that there exists a state of conflict or dispute associated with the relationship between the involved entities.
  • B. hasOngoingConflict
    Indicates that there is a current, unresolved state of opposition, dispute, or hostilities between the related entities.
  • C. reportedConflict
    Indicates that one party has formally reported the existence of a conflict involving another party or situation.
  • D. hasRelatedConflict chosen
    Indicates that one entity is associated with another entity through a related or connected conflict, dispute, or incompatibility.
  • E. conflictWith
    Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69c021bc3894819084f37d14ba4b2644 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:43 p.m.