Triple

T20066702
Position Surface form Disambiguated ID Type / Status
Subject Greater Tehran E499624 entity
Predicate governedFrom P6175 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: [Greater Tehran, governedFrom, Tehran Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tehran Municipality
Context triple: [Greater Tehran, governedFrom, 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. Shiraz metropolitan area
    The Shiraz metropolitan area is the urban agglomeration centered on the city of Shiraz in southern Iran, encompassing its surrounding suburbs and satellite communities.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66379f2cc81908f13a7b216878f12 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.