Triple
T12314106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 10-Turquesa |
E293554
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Ribeirão Pires station |
E1015651
|
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: Ribeirão Pires station | Statement: [Line 10-Turquesa, hasStation, Ribeirão Pires station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribeirão Pires station Context triple: [Line 10-Turquesa, hasStation, Ribeirão Pires station]
-
A.
Santo Amaro station
Santo Amaro station is a major interchange station in São Paulo’s metro network, connecting Line 5–Lilac with other urban rail services.
-
B.
Campo Limpo station
Campo Limpo station is a metro station on São Paulo’s Line 5–Lilac, serving the Campo Limpo district in the city’s south zone.
-
C.
Jundiaí station
Jundiaí station is a major railway terminus in the city of Jundiaí, São Paulo, serving as an important hub in the São Paulo metropolitan rail network.
-
D.
São Caetano do Sul station
chosen
São Caetano do Sul station is a commuter rail station in São Caetano do Sul, São Paulo, serving passengers on CPTM’s Line 10–Turquesa in the São Paulo metropolitan area.
-
E.
Adolfo Pinheiro station
Adolfo Pinheiro station is an underground metro station in São Paulo, Brazil, serving passengers on Line 5–Lilac of the São Paulo Metro system.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5e627b4819084c830f4a46a8cda |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 8, 2026, 9:53 p.m.