Triple
T11942681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa das Rosas |
E284215
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Casa das Rosas |
E284215
|
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: Casa das Rosas | Statement: [Casa das Rosas, name, Casa das Rosas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casa das Rosas Context triple: [Casa das Rosas, name, Casa das Rosas]
-
A.
Casa das Rosas
chosen
Casa das Rosas is a historic mansion and cultural center in São Paulo, Brazil, renowned for its poetry events, literary activities, and preserved early-20th-century architecture.
-
B.
Las Rosas
Las Rosas is a Madrid Metro station serving the Las Rosas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
-
C.
Las Rosas
Las Rosas is a settlement located within the municipality of El Rosario, likely a small town or village in a Spanish-speaking region.
-
D.
Engenho de Dentro
Engenho de Dentro is a neighborhood in Rio de Janeiro, Brazil, known for hosting the Estádio Nilton Santos football stadium.
-
E.
Aleijadinho
Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440a5a9c8819086a94ad60c6881b8 |
completed | May 1, 2026, 5:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.