Triple

T22734352
Position Surface form Disambiguated ID Type / Status
Subject Fasa E562223 entity
Predicate administrativeDivision P747 FINISHED
Object Fasa 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: Fasa County | Statement: [Fasa, administrativeDivision, Fasa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fasa County
Context triple: [Fasa, administrativeDivision, Fasa County]
  • A. Fasa County chosen
    Fasa County is an administrative division in Fars Province, Iran, centered on the city of Fasa and known for its agricultural activities and historical significance in the region.
  • B. Gachsaran County
    Gachsaran County is an administrative region in southwestern Iran known for its significant oil and gas resources and mountainous terrain.
  • C. Habahe County
    Habahe County is an administrative county in northern Xinjiang, China, known for its location near the borders with Kazakhstan and Russia within the Altay region.
  • D. Kabudarahang County
    Kabudarahang County is an administrative subdivision in western Iran known for its rural communities and agricultural activities within Hamadan Province.
  • E. Baqên County
    Baqên County is a county-level administrative division in northern Tibet, China, under the jurisdiction of Nagqu Prefecture-level city.
  • 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.