Triple
T11894017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 15–Silver |
E282989
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Jardim Planalto
Jardim Planalto is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
|
E952242
|
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: Jardim Planalto | Statement: [Line 15–Silver, station, Jardim Planalto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jardim Planalto Context triple: [Line 15–Silver, station, Jardim Planalto]
-
A.
Jardim Garcia de Orta
Jardim Garcia de Orta is a themed riverside garden in Lisbon inspired by Portugal’s former overseas territories, featuring exotic plants, water features, and scenic views within the Parque das Nações district.
-
B.
Jardim São Paulo
Jardim São Paulo is a residential neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
-
C.
Jardim Uchôa
Jardim Uchôa is a neighborhood located within the city of Recife in the state of Pernambuco, Brazil.
-
D.
Jardim Sulacap
Jardim Sulacap is a residential neighborhood located in the West Zone of Rio de Janeiro, Brazil.
-
E.
Jardim de São Pedro de Alcântara
Jardim de São Pedro de Alcântara is a terraced viewpoint garden in Lisbon offering panoramic views over the city, including the Baixa district and São Jorge Castle.
- 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: Jardim Planalto Triple: [Line 15–Silver, station, Jardim Planalto]
Generated description
Jardim Planalto is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jardim Planalto Target entity description: Jardim Planalto is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
-
A.
Jardim Garcia de Orta
Jardim Garcia de Orta is a themed riverside garden in Lisbon inspired by Portugal’s former overseas territories, featuring exotic plants, water features, and scenic views within the Parque das Nações district.
-
B.
Jardim São Paulo
Jardim São Paulo is a residential neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
-
C.
Jardim Uchôa
Jardim Uchôa is a neighborhood located within the city of Recife in the state of Pernambuco, Brazil.
-
D.
Jardim Sulacap
Jardim Sulacap is a residential neighborhood located in the West Zone of Rio de Janeiro, Brazil.
-
E.
Jardim de São Pedro de Alcântara
Jardim de São Pedro de Alcântara is a terraced viewpoint garden in Lisbon offering panoramic views over the city, including the Baixa district and São Jorge Castle.
- 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_69f4180569ac81909137d56374e800c0 |
completed | May 1, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69f41f1abaa481908b8a6873a07af848 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42283c4cc81909793834ef65d2514 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.