Triple
T22995837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrô do Recife |
E572186
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Rodoviária Station |
—
|
NE NERFINISHED |
How this triple was built (3 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: Rodoviária Station | Statement: [Metrô do Recife, hasStation, Rodoviária Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodoviária Station Context triple: [Metrô do Recife, hasStation, Rodoviária Station]
-
A.
Tietê Bus Terminal
Tietê Bus Terminal is one of São Paulo’s largest and busiest intercity and interstate bus stations, serving as a major transportation hub for passengers traveling across Brazil and to neighboring countries.
-
B.
Barra Funda Bus Terminal
Barra Funda Bus Terminal is a major intercity and regional bus station in São Paulo, Brazil, integrated with the city’s metro and rail networks.
-
C.
Paulista station
Paulista station is a major São Paulo Metro station on Line 4–Yellow, located on Avenida Paulista and serving as an important transfer point in the city's transit network.
-
D.
São Sebastião station
São Sebastião station is a major Lisbon Metro interchange and terminal on the Red Line, serving the São Sebastião da Pedreira area near central Lisbon.
-
E.
Campo Belo station
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodoviária Station Target entity description: Rodoviária Station is a metro stop on the Recife Metro system in Recife, Brazil, serving passengers traveling to and from the city’s main bus terminal area.
-
A.
Tietê Bus Terminal
Tietê Bus Terminal is one of São Paulo’s largest and busiest intercity and interstate bus stations, serving as a major transportation hub for passengers traveling across Brazil and to neighboring countries.
-
B.
Barra Funda Bus Terminal
Barra Funda Bus Terminal is a major intercity and regional bus station in São Paulo, Brazil, integrated with the city’s metro and rail networks.
-
C.
Paulista station
Paulista station is a major São Paulo Metro station on Line 4–Yellow, located on Avenida Paulista and serving as an important transfer point in the city's transit network.
-
D.
São Sebastião station
São Sebastião station is a major Lisbon Metro interchange and terminal on the Red Line, serving the São Sebastião da Pedreira area near central Lisbon.
-
E.
Campo Belo station
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
- F. None of above. chosen
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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f3186c81909e0d5177029a72ae |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.