Triple
T11893971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5–Lilac |
E282988
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Campo Belo station
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
|
E982623
|
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: Campo Belo station | Statement: [Line 5–Lilac, hasStation, Campo Belo station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campo Belo station Context triple: [Line 5–Lilac, hasStation, Campo Belo 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.
Campo Grande station
Campo Grande station is a major Lisbon Metro interchange and transport hub in northern Lisbon, serving both the Green and Yellow lines and connecting to several bus routes.
-
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.
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.
-
E.
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.
- 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: Campo Belo station Triple: [Line 5–Lilac, hasStation, Campo Belo station]
Generated description
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campo Belo station Target entity description: Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
-
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.
Campo Grande station
Campo Grande station is a major Lisbon Metro interchange and transport hub in northern Lisbon, serving both the Green and Yellow lines and connecting to several bus routes.
-
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.
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.
-
E.
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.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6344f8ee88190aae2b0052f296e19 |
completed | May 2, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:44 p.m.