Triple

T11134386
Position Surface form Disambiguated ID Type / Status
Subject Mahabad E263372 entity
Predicate locatedIn P40 FINISHED
Object Mahabad County E907904 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: Mahabad County | Statement: [Mahabad, locatedIn, Mahabad County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahabad County
Context triple: [Mahabad, locatedIn, Mahabad County]
  • A. Mahabad County chosen
    Mahabad County is an administrative division in Iran’s West Azerbaijan Province, centered on the city of Mahabad and known for its predominantly Kurdish population.
  • B. Pakdasht County
    Pakdasht County is an administrative subdivision in Iran located southeast of Tehran, known for its agricultural activities and proximity to the capital.
  • C. Islamshahr County
    Islamshahr County is an administrative subdivision in north-central Iran that forms part of the greater Tehran metropolitan area.
  • D. Nahavand County
    Nahavand County is an administrative division in western Iran known for its historical significance and agricultural activities within Hamedan Province.
  • E. Pishva County
    Pishva County is an administrative subdivision in northern Iran known for its location within Tehran Province and its proximity to the capital city.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46308d2f481908827d0d569802f89 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.