Triple

T14061737
Position Surface form Disambiguated ID Type / Status
Subject Sabzevar E338361 entity
Predicate isCapitalOf P204 FINISHED
Object Sabzevar County E539446 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: Sabzevar County | Statement: [Sabzevar, isCapitalOf, Sabzevar County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabzevar County
Context triple: [Sabzevar, isCapitalOf, Sabzevar County]
  • A. Sabzevar County chosen
    Sabzevar County is an administrative region in Razavi Khorasan Province in northeastern Iran, known for its historical significance and cultural heritage.
  • B. 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.
  • 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. Pakdasht County
    Pakdasht County is an administrative subdivision in Iran located southeast of Tehran, known for its agricultural activities and proximity to the capital.
  • E. 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.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6654850819083262f3fb981eb1a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.