Triple

T368400
Position Surface form Disambiguated ID Type / Status
Subject Sabha E8213 entity
Predicate locatedInCountrySubdivision P766 FINISHED
Object Sabha District E46554 NE 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: Sabha District | Statement: [Sabha, locatedInCountrySubdivision, Sabha District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabha District
Context triple: [Sabha, locatedInCountrySubdivision, Sabha District]
  • A. Sabha District chosen
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • B. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • C. Buk District
    Buk District is an administrative district (gu) in the northern part of Busan, South Korea, known for its residential neighborhoods and local commercial centers.
  • D. Kathiawar Agency
    Kathiawar Agency was a British Indian administrative unit that oversaw a group of princely states on the Kathiawar (Saurashtra) peninsula in western India.
  • E. Sasang District
    Sasang District is an administrative district (gu) of the city of Busan in South Korea, known for its industrial areas, transportation hubs, and mixed residential-commercial neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebeab13c8190b15c2f10310ec6a8 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f0a5e5dc81909363a31e9b713368 completed March 1, 2026, 7:54 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.