Triple
T12313987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 7-Rubi |
E293551
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
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.
|
E996209
|
NE FINISHED |
How this triple was built (4 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: Jundiaí station | Statement: [Line 7-Rubi, terminus, Jundiaí station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jundiaí station Context triple: [Line 7-Rubi, terminus, Jundiaí station]
-
A.
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.
-
B.
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.
-
C.
Campo Belo station
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jundiaí station Triple: [Line 7-Rubi, terminus, Jundiaí station]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jundiaí station Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
Campo Belo station
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69f6685205608190b504ab6e7c73ee51 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 8, 2026, 9:53 p.m.