Triple

T18627945
Position Surface form Disambiguated ID Type / Status
Subject Foz do Iguaçu International Airport E455332 entity
Predicate IATA code P2569 FINISHED
Object IGU 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: IGU | Statement: [Foz do Iguaçu International Airport, IATA code, IGU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IGU
Context triple: [Foz do Iguaçu International Airport, IATA code, IGU]
  • A. IGU chosen
    IGU is the IATA airport code for Foz do Iguaçu International Airport in Brazil, serving the Iguaçu Falls region.
  • B. IGR
    IGR is the IATA airport code for Cataratas del Iguazú International Airport serving Puerto Iguazú in Argentina, a gateway to the Iguazú Falls.
  • C. IUG
    IUG is an acronym commonly used to refer to the Islamic University of Gaza, a major higher education institution in the Gaza Strip.
  • D. IGAS
    IGAS is an organization focused on advancing interdisciplinary collaboration and innovation across the global arts and sciences communities.
  • E. IGS
    IGS is the IATA airport code assigned to Neuburg Air Base in Germany.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f063a1c819087e544c64f5cf80f completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.