Triple

T1675700
Position Surface form Disambiguated ID Type / Status
Subject Mehrabad International Airport E36225 entity
Predicate servesPopulation P769 FINISHED
Object Tehran metropolitan area E5216 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: Tehran metropolitan area | Statement: [Mehrabad International Airport, servesPopulation, Tehran metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tehran metropolitan area
Context triple: [Mehrabad International Airport, servesPopulation, Tehran metropolitan area]
  • A. Tehran Municipality
    Tehran Municipality is the local government authority responsible for administering and managing the city of Tehran, Iran’s capital.
  • B. Tehran chosen
    Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
  • C. Mashhad
    Mashhad is a major city in northeastern Iran renowned as a leading religious and cultural center of the Islamic world, centered around the shrine of Imam Reza.
  • D. Isfahan
    Isfahan is a historic Iranian city renowned for its Safavid-era architecture, grand mosques, and role as a major political and cultural center in early modern Persia.
  • E. Tabriz
    Tabriz is a historic city in northwestern Iran that has long served as a major political, commercial, and cultural center in the region.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625cb1a08190bf7b138c5bfb90b2 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f6a15f081909b83d24a7b470eba completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:29 p.m.