Triple
T22431409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seridó Oriental microregion |
E554507
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Carnaúba dos Dantas |
—
|
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: Carnaúba dos Dantas | Statement: [Seridó Oriental microregion, hasMunicipality, Carnaúba dos Dantas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carnaúba dos Dantas Context triple: [Seridó Oriental microregion, hasMunicipality, Carnaúba dos Dantas]
-
A.
Carnaúba dos Dantas
chosen
Carnaúba dos Dantas is a small municipality in the state of Rio Grande do Norte in Brazil, known for its semi-arid landscape and regional cultural traditions.
-
B.
Caraúbas
Caraúbas is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
-
C.
Carriço
Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
-
D.
Cachoeirinha
Cachoeirinha is a municipality in the state of Rio Grande do Sul in southern Brazil, located in the metropolitan region of Porto Alegre.
-
E.
Arapiraca
Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
- 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.