Triple
T12489472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Region of Campinas |
E298523
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Indaiatuba |
E343497
|
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: Indaiatuba | Statement: [Metropolitan Region of Campinas, hasMunicipality, Indaiatuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indaiatuba Context triple: [Metropolitan Region of Campinas, hasMunicipality, Indaiatuba]
-
A.
Indaiatuba
chosen
Indaiatuba is a rapidly growing municipality in southeastern Brazil known for its strong industrial base, high quality of life, and proximity to the city of Campinas.
-
B.
Taquaritinga
Taquaritinga is a municipality in the interior of Brazil’s São Paulo state, known for its agricultural production and regional commerce.
-
C.
Guaratinguetá
Guaratinguetá is a historic municipality in southeastern Brazil known for its colonial heritage and religious tourism, located in the state of São Paulo.
-
D.
Itapecerica da Serra
Itapecerica da Serra is a municipality in the metropolitan region of São Paulo, Brazil, known for its hilly terrain and remaining areas of Atlantic Forest.
-
E.
Jandira
Jandira is a municipality in the state of São Paulo, Brazil, located in the metropolitan region near the city of Barueri.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2588b448190b5dc5a5d37fd1897 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:56 p.m.