Triple

T6535838
Position Surface form Disambiguated ID Type / Status
Subject Saha-gu Office E152360 entity
Predicate jurisdiction P82 FINISHED
Object Saha District E28721 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: Saha District | Statement: [Saha-gu Office, jurisdiction, Saha District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saha District
Context triple: [Saha-gu Office, jurisdiction, Saha District]
  • A. Saha District chosen
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • B. Reasi district
    Reasi district is an administrative region in the Indian union territory of Jammu and Kashmir, known for its hilly terrain, pilgrimage sites, and proximity to major infrastructure projects like the Chenab Rail Bridge.
  • C. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • D. Shopian district
    Shopian district is an administrative district in the Union Territory of Jammu and Kashmir, India, known for its apple orchards and location in the Kashmir Valley.
  • E. Huli District
    Huli District is an urban district of Xiamen in Fujian Province, China, known for its role as a commercial and transportation hub including part of Xiamen Island and the city's airport.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc238688190aca143b22b8a399c completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eed0ef548190b384e37f39830b14 completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:46 p.m.