Triple
T22431369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Potiguar |
E554506
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Afonso Bezerra |
—
|
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: Afonso Bezerra | Statement: [Central Potiguar, containsMunicipality, Afonso Bezerra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afonso Bezerra Context triple: [Central Potiguar, containsMunicipality, Afonso Bezerra]
-
A.
Afonso Bezerra
chosen
Afonso Bezerra is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
-
B.
Machado Santos
Machado Santos was a prominent Portuguese naval officer and republican revolutionary best known for his key role in overthrowing the monarchy during the 5 October 1910 Revolution.
-
C.
Theotonio dos Santos
Theotonio dos Santos was a Brazilian Marxist economist and sociologist known as one of the principal architects of dependency theory in Latin American social thought.
-
D.
Mário Narciso
Mário Narciso is a Portuguese beach soccer coach best known for managing Portugal’s national beach soccer team to major international successes.
-
E.
Almino Afonso
Almino Afonso is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a32139481909baaf9275f5e0257 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.