Triple

T28834193
Position Surface form Disambiguated ID Type / Status
Subject Qaryut E728132 entity
Predicate hasAreaControlRegime P63323 FINISHED
Object Israeli occupation 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: Israeli occupation | Statement: [Qaryut, hasAreaControlRegime, Israeli occupation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAreaControlRegime
Context triple: [Qaryut, hasAreaControlRegime, Israeli occupation]
  • A. regulatesArea
    Indicates that one entity exercises control or governance over the spatial extent, scope, or domain of another entity.
  • B. regulatedArea chosen
    Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
  • C. hasAccessRegime
    Indicates that one entity is subject to, governed by, or managed under a particular access control regime or set of access rules defined by another entity.
  • D. hasAutonomousArea
    Indicates that an entity possesses or contains a geographically or administratively distinct area that has a degree of self-governance or autonomy.
  • E. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • 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_69f0319dc6088190bbfaa206d40ed74a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 28, 2026, 6:38 a.m.