Triple
T12050233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4–Yellow |
E286895
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Faria Lima
Faria Lima is a major metro station in São Paulo, Brazil, serving the busy Avenida Brigadeiro Faria Lima corridor and connecting commuters to the city's financial and commercial districts.
|
E961589
|
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: Faria Lima | Statement: [Line 4–Yellow, hasStation, Faria Lima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faria Lima Context triple: [Line 4–Yellow, hasStation, Faria Lima]
-
A.
Surco
Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
-
B.
Surco
Surco is a record label known for releasing music by the Argentine-Uruguayan electronic tango collective Bajofondo and other Latin American artists.
-
C.
Miraflores
Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
-
D.
Miraflores
Miraflores is a rural barrio (district) of the municipality of Arecibo in northern Puerto Rico.
-
E.
Ilha do Retiro
Ilha do Retiro is a football stadium in Recife, Brazil, best known as the home ground of Sport Club do Recife.
- 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: Faria Lima Triple: [Line 4–Yellow, hasStation, Faria Lima]
Generated description
Faria Lima is a major metro station in São Paulo, Brazil, serving the busy Avenida Brigadeiro Faria Lima corridor and connecting commuters to the city's financial and commercial districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faria Lima Target entity description: Faria Lima is a major metro station in São Paulo, Brazil, serving the busy Avenida Brigadeiro Faria Lima corridor and connecting commuters to the city's financial and commercial districts.
-
A.
Surco
Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
-
B.
Surco
Surco is a record label known for releasing music by the Argentine-Uruguayan electronic tango collective Bajofondo and other Latin American artists.
-
C.
Miraflores
Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
-
D.
Miraflores
Miraflores is a rural barrio (district) of the municipality of Arecibo in northern Puerto Rico.
-
E.
Ilha do Retiro
Ilha do Retiro is a football stadium in Recife, Brazil, best known as the home ground of Sport Club do Recife.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dd140a48190844f64c228e6367a |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d95d4fc8190b5f4e460646bec2a |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.