Triple

T6904097
Position Surface form Disambiguated ID Type / Status
Subject Luri E159563 entity
Predicate spokenInProvince P44118 FINISHED
Object Ilam Province E553678 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: Ilam Province | Statement: [Luri, spokenInProvince, Ilam Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilam Province
Context triple: [Luri, spokenInProvince, Ilam Province]
  • A. Ilam Province chosen
    Ilam Province is a mountainous, ethnically diverse region in western Iran bordering Iraq, known for its Kurdish and Lur populations and rich natural landscapes.
  • B. Rehamna Province
    Rehamna Province is an administrative division in central Morocco known for its rural communities and agricultural activities within the Marrakesh-Safi region.
  • C. Kermanshah Province
    Kermanshah Province is a western region of Iran known for its mountainous terrain in the Zagros range, rich Kurdish culture, and important archaeological sites such as the Bisotun inscription.
  • D. Lorestan Province
    Lorestan Province is a mountainous region in western Iran known for its Lur population, rich history, and scenic landscapes of the Zagros Mountains.
  • E. Daykundi Province
    Daykundi Province is a central Afghan province known for its predominantly Hazara population and mountainous terrain.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75124cab88190a1510d77ed61c945 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:25 p.m.