Triple
T23129396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodovia Rio-Santos |
E577125
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Ubatuba |
—
|
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: Ubatuba | Statement: [Rodovia Rio-Santos, passesNear, Ubatuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubatuba Context triple: [Rodovia Rio-Santos, passesNear, Ubatuba]
-
A.
Nazaré Paulista
Nazaré Paulista is a municipality in the state of São Paulo, Brazil, known for its natural landscapes and reservoirs that supply water to the metropolitan region.
-
B.
Caraguatatuba
chosen
Caraguatatuba is a coastal city in the state of São Paulo, Brazil, known for its beaches and role as a popular tourist destination on the northern coast.
-
C.
Porto de Galinhas
Porto de Galinhas is a popular beach town in northeastern Brazil known for its clear waters, natural tide pools, and vibrant tourist infrastructure.
-
D.
Cabo Frio
Cabo Frio is a prominent rocky outcrop forming one of the distinctive promontories along the rim of Victoria Crater on Mars, studied extensively by the Opportunity rover.
-
E.
Cabo Frio
Cabo Frio is a coastal city in southeastern Brazil known for its white-sand beaches, clear waters, and tourism-driven economy.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8671f48190887e57d5723e49c1 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.