Triple

T9533135
Position Surface form Disambiguated ID Type / Status
Subject Mianeh E229944 entity
Predicate administrativeDivisionOf P747 FINISHED
Object Mianeh County E805921 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: Mianeh County | Statement: [Mianeh, administrativeDivisionOf, Mianeh County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mianeh County
Context triple: [Mianeh, administrativeDivisionOf, Mianeh County]
  • A. Mianeh County chosen
    Mianeh County is an administrative division in East Azerbaijan Province in northwestern Iran, centered around the city of Mianeh.
  • B. Pardis County
    Pardis County is an administrative subdivision in northern Iran located within Tehran Province, near the capital city of Tehran.
  • C. Utena County
    Utena County is an administrative region in northeastern Lithuania known for its lakes, forests, and river landscapes.
  • D. Cass County
    Cass County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • E. Cass County
    Cass County is a county in western Missouri that forms part of the Kansas City metropolitan area.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98c9fef88190beb291b41ee26066 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15275e4c08190a8aeb02caff052d8 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8 p.m.