Triple

T8096647
Position Surface form Disambiguated ID Type / Status
Subject Shemiranat County E189001 entity
Predicate borders P224 FINISHED
Object Damavand County E190541 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: Damavand County | Statement: [Shemiranat County, borders, Damavand County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damavand County
Context triple: [Shemiranat County, borders, Damavand County]
  • A. Damavand County chosen
    Damavand County is an administrative subdivision in northern Iran known for its mountainous terrain and proximity to Mount Damavand.
  • B. Baharestan County
    Baharestan County is an administrative subdivision in Iran located within Tehran Province, forming part of the greater Tehran metropolitan area.
  • 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. 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.
  • E. Sabzevar County
    Sabzevar County is an administrative region in Razavi Khorasan Province in northeastern Iran, known for its historical significance and cultural heritage.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9407df3481908353e8468b49e6bc completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:30 p.m.