Triple
T23206217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biritiba Mirim |
E580462
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Suzano |
—
|
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: Suzano | Statement: [Biritiba Mirim, neighboringMunicipality, Suzano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzano Context triple: [Biritiba Mirim, neighboringMunicipality, Suzano]
-
A.
Suzano
chosen
Suzano is a municipality in the eastern part of the São Paulo metropolitan region in Brazil, known for its industrial activity and integration into Greater São Paulo’s urban area.
-
B.
Eiso
Eiso was a Japanese era name (nengō) used during the reign of Emperor Ichijō in the Heian period.
-
C.
Ensidesa
Ensidesa was a major Spanish state-owned steel company that played a central role in Spain’s industrial development during the mid-20th century.
-
D.
Nissho
Nissho was a prominent disciple of the Japanese Buddhist monk Nichiren who helped propagate and systematize Nichiren Buddhism.
-
E.
Mitsubishi Paper Mills
Mitsubishi Paper Mills is a Japanese company in the Mitsubishi group that manufactures and sells a wide range of paper and paper-related products.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907cd62c8190afee1e963b170727 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.