Triple

T22986336
Position Surface form Disambiguated ID Type / Status
Subject Jordan and Syria E571615 entity
Predicate conflictInvolvementContext P3680 FINISHED
Object Arab–Israeli conflict region 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: Arab–Israeli conflict region | Statement: [Jordan and Syria, conflictInvolvementContext, Arab–Israeli conflict region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conflictInvolvementContext
Context triple: [Jordan and Syria, conflictInvolvementContext, Arab–Israeli conflict region]
  • A. conflictContext chosen
    Indicates the situational background or circumstances within which a conflict between entities occurs or is interpreted.
  • B. conflictSideContext
    Indicates that an entity participates in a conflict on a particular side, within a specified contextual framing (such as time, place, or specific phase of the conflict).
  • C. laterConflictInvolvement
    Indicates that an entity becomes involved in a conflict at a subsequent time relative to another referenced event or involvement.
  • D. involvedPoliticalContext
    Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
  • E. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
PD Predicate disambiguation batch_69ef3b974e7c8190b8be11dbb4518693 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:49 p.m.