Triple
T23011849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capivari |
E572925
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Capivari |
—
|
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: Capivari | Statement: [Capivari, officialName, Capivari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capivari Context triple: [Capivari, officialName, Capivari]
-
A.
Capivari
chosen
Capivari is a municipality in the state of São Paulo, Brazil, known for its regional agriculture and small-city character within the interior of the state.
-
B.
Goianinha
Goianinha is a municipality in the state of Rio Grande do Norte, Brazil, known for its sugarcane agriculture and integration into the Natal metropolitan area.
-
C.
Poilão
Poilão is a small, uninhabited island in Guinea-Bissau’s Bijagós Archipelago, renowned as one of the world’s most important nesting sites for green sea turtles.
-
D.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
-
E.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e202a481908d7a2f00a12229a0 |
completed | April 29, 2026, 4:06 a.m. |
Created at: April 17, 2026, 3:51 p.m.