Triple
T17106758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baixada Santista |
E415119
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Peruíbe |
E1127611
|
NE FINISHED |
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: Peruíbe | Statement: [Baixada Santista, containsCity, Peruíbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peruíbe Context triple: [Baixada Santista, containsCity, Peruíbe]
-
A.
Peruíbe
chosen
Peruíbe is a coastal municipality in the state of São Paulo, Brazil, known for its beaches, ecological tourism, and proximity to preserved Atlantic Forest areas.
-
B.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
-
C.
Pirapora
Pirapora is a municipality in the state of Minas Gerais, Brazil, known for its location on the São Francisco River and its river-based tourism and commerce.
-
D.
Itaparica
Itaparica is a coastal municipality located on Itaparica Island in the state of Bahia, Brazil, known for its beaches and proximity to Salvador.
-
E.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2750b481908de18e8cb8f2195c |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014143edb081909509c5435d392dd0 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:35 a.m.