Triple
T12313829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San-São |
E293547
|
entity |
| Predicate | typicalVenue |
P373
|
FINISHED |
| Object | Vila Belmiro |
E953579
|
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: Vila Belmiro | Statement: [San-São, typicalVenue, Vila Belmiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vila Belmiro Context triple: [San-São, typicalVenue, Vila Belmiro]
-
A.
Vila Belmiro
chosen
Vila Belmiro is the historic home stadium of Santos FC in Santos, Brazil, renowned as one of the most traditional football grounds in the country.
-
B.
Vila Prudente
Vila Prudente is a metro station in São Paulo, Brazil, serving as a key terminal and transfer point on the city’s rapid transit network.
-
C.
Vila Flor
Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
-
D.
Vila Baleira
Vila Baleira is the main urban center and administrative hub of Porto Santo Island in Portugal’s Madeira archipelago, known for its proximity to long sandy beaches and historical ties to Christopher Columbus.
-
E.
Vila Viçosa
Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e86d45881909a9a3c09df0b78f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.