Triple

T33689382
Position Surface form Disambiguated ID Type / Status
Subject مطار بئر السبع E863132 entity
Predicate المنطقة_الإدارية P153448 FINISHED
Object النقب
النقب هو إقليم صحراوي واسع في جنوب فلسطين التاريخية يتميز بمساحته الكبيرة وأهميته الجغرافية والاستراتيجية.
 E2066115 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: النقب
Triple: [مطار بئر السبع, المنطقة_الإدارية, النقب]
Generated description
النقب هو إقليم صحراوي واسع في جنوب فلسطين التاريخية يتميز بمساحته الكبيرة وأهميته الجغرافية والاستراتيجية.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a365c70763881909693772a92502c63 completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365d2c51808190aa3437c2aa4af4d0 completed June 20, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a365de322208190b3fc9539d7a2b18b completed June 20, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.