Triple
T22615132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alto Oeste Potiguar |
E558123
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Almino Afonso |
—
|
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: Almino Afonso | Statement: [Alto Oeste Potiguar, hasMunicipality, Almino Afonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almino Afonso Context triple: [Alto Oeste Potiguar, hasMunicipality, Almino Afonso]
-
A.
Almino Afonso
chosen
Almino Afonso is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
-
B.
Afonso Bezerra
Afonso Bezerra is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
-
C.
Mário Narciso
Mário Narciso is a Portuguese beach soccer coach best known for managing Portugal’s national beach soccer team to major international successes.
-
D.
José Geraldo Rodrigues
José Geraldo Rodrigues is a Brazilian actor known for his role in the acclaimed drama film "Linha de Passe."
-
E.
Mário Filho
Mário Filho was a prominent Brazilian sports journalist whose influence on football culture was so great that Rio de Janeiro’s iconic Maracanã Stadium was named in his honor.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167edec2481909c2f06607b3cb8f6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:59 p.m.