Triple
T12314101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 10-Turquesa |
E293554
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Brás station |
E1007251
|
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: Brás station | Statement: [Line 10-Turquesa, hasStation, Brás station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brás station Context triple: [Line 10-Turquesa, hasStation, Brás station]
-
A.
Brás station
chosen
Brás station is a major railway and metro hub in São Paulo, Brazil, serving multiple commuter rail lines and metro services and acting as a key transfer point in the city’s transit network.
-
B.
Barra Funda station
Barra Funda station is a major intermodal rail and metro hub in São Paulo, Brazil, serving suburban, regional, and urban transit lines.
-
C.
Capão Redondo station
Capão Redondo station is a metro terminus in São Paulo, Brazil, serving the southern region of the city on Line 5–Lilac.
-
D.
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.
-
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_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:53 p.m.