Triple

T33689382
Position Surface form Disambiguated ID Type / Status
Subject مطار بئر السبع E863132 entity
Predicate المنطقة_الإدارية P153448 FINISHED
Object النقب NE NERFINISHED

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: النقب | Statement: [مطار بئر السبع, المنطقة_الإدارية, النقب]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: المنطقة_الإدارية
Context triple: [مطار بئر السبع, المنطقة_الإدارية, النقب]
  • A. administrativeCouncilArea
    Indicates that one entity is an administrative council area within which the other entity is located or governed.
  • B. administrativeOkrug
    Indicates that one entity functions as an administrative district or okrug governing or encompassing another entity within an administrative hierarchy.
  • C. cityAdministrativeRegion chosen
    Indicates that a city is located within or governed by a specific administrative region (such as a state, province, or similar jurisdiction).
  • D. administrativeDistricts
    Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
  • E. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • 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_69f3498662b48190904442c39df84fb7 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa67cd908190a1784bd212fe3749 completed May 3, 2026, 7:34 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.