Triple

T22734381
Position Surface form Disambiguated ID Type / Status
Subject Lar E562224 entity
Predicate isCapitalOf P204 FINISHED
Object Larestan 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: Larestan County | Statement: [Lar, isCapitalOf, Larestan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larestan County
Context triple: [Lar, isCapitalOf, Larestan County]
  • A. Larestan County chosen
    Larestan County is an administrative region in Fars Province, Iran, centered around the city of Lar and known for its historical and cultural significance in the south of the country.
  • B. Tuyserkan County
    Tuyserkan County is an administrative subdivision in western Iran known for its walnut orchards and historical sites, located within Hamedan Province.
  • C. Firuzkuh County
    Firuzkuh County is an administrative subdivision in northeastern Tehran Province, Iran, known for its mountainous terrain, cold climate, and natural attractions.
  • D. Mirjaveh County
    Mirjaveh County is an administrative division in Sistan and Baluchestan Province in southeastern Iran, bordering Pakistan and known for its strategic border crossing.
  • E. Talesh County
    Talesh County is an administrative division in Gilan Province in northern Iran, known for its mountainous landscapes along the Caspian Sea and its significant Talysh ethnic population.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796e4970819090fb9c9926673938 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.