Triple

T22319827
Position Surface form Disambiguated ID Type / Status
Subject Behesht-e Zahra Cemetery E551752 entity
Predicate operator P179 FINISHED
Object Tehran Municipality 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: Tehran Municipality | Statement: [Behesht-e Zahra Cemetery, operator, Tehran Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tehran Municipality
Context triple: [Behesht-e Zahra Cemetery, operator, Tehran Municipality]
  • A. Tehran Municipality chosen
    Tehran Municipality is the local government authority responsible for administering and managing the city of Tehran, Iran’s capital.
  • B. Isfahan municipality
    Isfahan municipality is the local government body responsible for administering and providing public services in the city of Isfahan, Iran.
  • C. Karaj Municipality
    Karaj Municipality is the local government authority responsible for managing urban services, infrastructure, and administrative affairs in the city of Karaj, Iran.
  • D. Shahr-e Rey
    Shahr-e Rey is an ancient city now absorbed into the metropolitan area of Tehran, Iran, known for its long history as a major political and cultural center in the region.
  • E. Tehrani
    Tehrani is a Persian surname most notably associated with Iranian actress Hedieh Tehrani.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15763bf0881908d859f85b4a6ce28 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.