Triple

T18903433
Position Surface form Disambiguated ID Type / Status
Subject Amol E462393 entity
Predicate administrativeDivision P747 FINISHED
Object Amol County NE NERFINISHED

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: Amol County | Statement: [Amol, administrativeDivision, Amol County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amol County
Context triple: [Amol, administrativeDivision, Amol County]
  • A. Amol County chosen
    Amol County is an administrative division in Mazandaran Province in northern Iran, known for its historical significance and proximity to the Alborz Mountains and the Caspian Sea.
  • B. Asadabad County
    Asadabad County is an administrative division in western Iran known for its agricultural activities and location within Hamedan Province.
  • C. Marand County
    Marand County is an administrative region in East Azerbaijan Province in northwestern Iran, centered around the city of Marand.
  • D. Sari County
    Sari County is an administrative division in Mazandaran Province in northern Iran, centered on the city of Sari and known for its Caspian coastal plain and forested mountain landscapes.
  • E. Tuyserkan County
    Tuyserkan County is an administrative subdivision in western Iran known for its walnut orchards and historical sites, located within Hamedan Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52b07c08190be0db22826462ae3 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.