Triple
T12050234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4–Yellow |
E286895
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Pinheiros |
E923632
|
NE FINISHED |
How this triple was built (2 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: Pinheiros | Statement: [Line 4–Yellow, hasStation, Pinheiros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinheiros Context triple: [Line 4–Yellow, hasStation, Pinheiros]
-
A.
Pinheiros, São Paulo
chosen
Pinheiros is a central and upscale district in São Paulo known for its vibrant nightlife, diverse gastronomy, cultural venues, and proximity to major business and residential areas.
-
B.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
-
C.
Cidade Jardim
Cidade Jardim is a residential neighborhood and planned development located within the Barra da Tijuca region of Rio de Janeiro, Brazil.
-
D.
Santo Amaro das Brotas
Santo Amaro das Brotas is a municipality in the Brazilian state of Sergipe known for its riverside landscapes and traditional rural culture.
-
E.
Mogi das Cruzes
Mogi das Cruzes is a municipality in southeastern Brazil known as part of the Greater São Paulo metropolitan area and recognized for its industrial activity and agricultural production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f6345319808190a68195e215c2bd80 |
completed | May 2, 2026, 5:28 p.m. |
Created at: April 8, 2026, 9:47 p.m.