Triple

T7346953
Position Surface form Disambiguated ID Type / Status
Subject Southern Kurdish E169403 entity
Predicate hasDialect P4251 FINISHED
Object Kermanshahi E210929 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: Kermanshahi | Statement: [Southern Kurdish, hasDialect, Kermanshahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kermanshahi
Context triple: [Southern Kurdish, hasDialect, Kermanshahi]
  • A. Kermanshah chosen
    Kermanshah is a major city in western Iran known for its rich Kurdish culture and proximity to important historical and archaeological sites.
  • B. Khorramabad
    Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
  • C. Hamadan
    Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in the region.
  • D. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • E. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f14f308190a9e5cb76c7790e49 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ebdf56481909bc6748179353906 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:05 p.m.