Triple

T8048080
Position Surface form Disambiguated ID Type / Status
Subject Tehran Imam Khomeini International Airport E187603 entity
Predicate ICAO code P419 FINISHED
Object OIIE E187604 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: OIIE | Statement: [Tehran Imam Khomeini International Airport, ICAO code, OIIE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OIIE
Context triple: [Tehran Imam Khomeini International Airport, ICAO code, OIIE]
  • A. OIIE chosen
    OIIE is the ICAO airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Iran’s capital.
  • B. OIIR
    OIIR is the Office of International and Interagency Relations, a U.S. government office that coordinates collaboration and policy engagement between its parent agency and both foreign and domestic partner organizations.
  • C. OII
    OII is the stock ticker symbol for Oceaneering International, an engineering and applied technology company specializing in subsea services and products for the offshore energy industry.
  • D. IE-OY
    IE-OY is the ISO 3166-2 code that designates County Offaly in the Republic of Ireland.
  • E. Ooij
    Ooij is a village in the Dutch province of Gelderland, known for its rural landscape and location near the city of Nijmegen.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7711f48190af2002533c2e426a completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5716934481908ec60cc9fd825ad7 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:24 p.m.