Triple
T16559195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cima Corgo |
E402291
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Pinhão |
E1002946
|
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: Pinhão | Statement: [Cima Corgo, hasCenter, Pinhão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinhão Context triple: [Cima Corgo, hasCenter, Pinhão]
-
A.
Pinhão
Pinhão is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and traditional northeastern culture.
-
B.
Pinhão
chosen
Pinhão is a small village in Portugal’s Douro Valley, renowned as a key center of Port wine production and surrounded by terraced vineyards along the Douro River.
-
C.
Bulcão
Bulcão is a Portuguese-language surname most notably associated with Brazilian artist Athos Bulcão, renowned for his geometric tile murals and public artworks.
-
D.
Ribeira de Pena
Ribeira de Pena is a town in northern Portugal that serves as the administrative and cultural center of the surrounding municipality.
-
E.
Eixão
Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576cceb881908579b56d91b15dec |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eddb01081908e7ab59264199e15 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.