Triple

T9767034
Position Surface form Disambiguated ID Type / Status
Subject Qazvin E237018 entity
Predicate administrativeDivision P747 FINISHED
Object Qazvin County E364662 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: Qazvin County | Statement: [Qazvin, administrativeDivision, Qazvin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qazvin County
Context triple: [Qazvin, administrativeDivision, Qazvin County]
  • A. Qazvin County chosen
    Qazvin County is an administrative division in Iran’s Qazvin Province, centered on the historic city of Qazvin and known for its cultural heritage and strategic location.
  • B. Karaj County
    Karaj County is an administrative division in Iran’s Alborz Province that includes the city of Karaj, a major urban and industrial center just west of Tehran.
  • C. Baharestan County
    Baharestan County is an administrative subdivision in Iran located within Tehran Province, forming part of the greater Tehran metropolitan area.
  • D. Islamshahr County
    Islamshahr County is an administrative subdivision in north-central Iran that forms part of the greater Tehran metropolitan area.
  • E. Yazd County
    Yazd County is an administrative region in central Iran that encompasses the city of Yazd and its surrounding areas.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcfffa6081909f61c66357765d8d completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.