Triple

T21648574
Position Surface form Disambiguated ID Type / Status
Subject حي السيدة زينب E534277 entity
Predicate governorateDistrict P37549 FINISHED
Object حي السيدة زينب الإداري 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: حي السيدة زينب الإداري | Statement: [حي السيدة زينب, governorateDistrict, حي السيدة زينب الإداري]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governorateDistrict
Context triple: [حي السيدة زينب, governorateDistrict, حي السيدة زينب الإداري]
  • A. governorateOrDistrict chosen
    Indicates that one administrative region is a governorate or district that encompasses, governs, or is otherwise the primary subnational division for another area or locality.
  • B. governorateOf
    Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
  • C. governorateSystem
    Indicates a system in which a territory or region is organized, administered, or governed as a governorate.
  • D. governmentalDistrictOf
    Indicates that a governmental district is the administrative district to which a given entity belongs or in which it is located.
  • E. governorateNumber
    Indicates the numerical identifier assigned to a specific governorate within an administrative or political system.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59131c88819082df8e5b87f5954b completed April 27, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:35 p.m.