Triple
T19733716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maestro Wilson Fonseca International Airport |
E473919
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Santarém–Maestro Wilson Fonseca International Airport |
—
|
NE NERFINISHED |
How this triple was built (3 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: Santarém–Maestro Wilson Fonseca International Airport | Statement: [Maestro Wilson Fonseca International Airport, alternativeName, Santarém–Maestro Wilson Fonseca International Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santarém–Maestro Wilson Fonseca International Airport Context triple: [Maestro Wilson Fonseca International Airport, alternativeName, Santarém–Maestro Wilson Fonseca International Airport]
-
A.
São Luís International Airport
São Luís International Airport is the main commercial airport serving the city of São Luís in the Brazilian state of Maranhão, handling domestic and limited international flights.
-
B.
Francisco Sá Carneiro Airport
Francisco Sá Carneiro Airport is the main international airport serving Porto, Portugal, and one of the country’s busiest air transport hubs.
-
C.
São Jorge Airport
São Jorge Airport is a small regional airport in the Azores archipelago of Portugal that provides air connections between São Jorge Island and other islands and mainland destinations.
-
D.
Macapá International Airport
Macapá International Airport is the main commercial aviation hub serving the city of Macapá and the surrounding region in Brazil’s northern Amazon area.
-
E.
Eduardo Gomes International Airport
Eduardo Gomes International Airport is the main international airport serving Manaus in Brazil’s Amazonas state, handling both passenger traffic and significant cargo operations in the Amazon region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santarém–Maestro Wilson Fonseca International Airport Target entity description: Santarém–Maestro Wilson Fonseca International Airport is a Brazilian airport serving the city of Santarém in the state of Pará, providing regional and limited international air connections in the Amazon region.
-
A.
São Luís International Airport
São Luís International Airport is the main commercial airport serving the city of São Luís in the Brazilian state of Maranhão, handling domestic and limited international flights.
-
B.
Francisco Sá Carneiro Airport
Francisco Sá Carneiro Airport is the main international airport serving Porto, Portugal, and one of the country’s busiest air transport hubs.
-
C.
São Jorge Airport
São Jorge Airport is a small regional airport in the Azores archipelago of Portugal that provides air connections between São Jorge Island and other islands and mainland destinations.
-
D.
Macapá International Airport
Macapá International Airport is the main commercial aviation hub serving the city of Macapá and the surrounding region in Brazil’s northern Amazon area.
-
E.
Eduardo Gomes International Airport
Eduardo Gomes International Airport is the main international airport serving Manaus in Brazil’s Amazonas state, handling both passenger traffic and significant cargo operations in the Amazon region.
- F. None of above. chosen
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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515b4d308190af3be1787fa7c65b |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.