Triple
T23129398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodovia Rio-Santos |
E577125
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Caraguatatuba |
—
|
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: Caraguatatuba | Statement: [Rodovia Rio-Santos, passesNear, Caraguatatuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caraguatatuba Context triple: [Rodovia Rio-Santos, passesNear, Caraguatatuba]
-
A.
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.
-
B.
Itanhaém
Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
-
C.
Ipojuca
Ipojuca is a coastal municipality in northeastern Brazil known for its tourism-driven economy and famous beaches such as Porto de Galinhas.
-
D.
Guarapari
Guarapari is a coastal resort city in southeastern Brazil known for its beaches and naturally radioactive monazite sand, which is popularly believed to have therapeutic properties.
-
E.
Cumbuco
Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
- 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.