Triple
T19856010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiado |
E477133
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | A Brasileira café |
—
|
NE NERFINISHED |
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: A Brasileira café | Statement: [Chiado, hasLandmark, A Brasileira café]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Brasileira café Context triple: [Chiado, hasLandmark, A Brasileira café]
-
A.
O Lavrador de Café
O Lavrador de Café is a famous modernist painting by Brazilian artist Cândido Portinari that powerfully depicts a coffee farmer as a symbol of Brazil’s rural working class.
-
B.
Sultana del Café
Sultana del Café is a nickname for Jipijapa, a town in Ecuador renowned for its coffee production and traditional culture.
-
C.
Café Filho
Café Filho was a Brazilian politician who briefly served as President of Brazil in the mid-1950s following the suicide of Getúlio Vargas.
-
D.
Café A Brasileira
chosen
Café A Brasileira is a historic and iconic Lisbon coffeehouse in the Chiado district, famed for its literary clientele and classic Belle Époque atmosphere.
-
E.
Koffee
Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586c14fc81908d34785f1088b0a9 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.