Triple
T19432416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belo Horizonte |
E486147
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Praça da Estação |
—
|
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: Praça da Estação | Statement: [Belo Horizonte, hasLandmark, Praça da Estação]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praça da Estação Context triple: [Belo Horizonte, hasLandmark, Praça da Estação]
-
A.
Praça da Estação
chosen
Praça da Estação is a historic central square in Belo Horizonte, Brazil, known for its cultural events, public gatherings, and proximity to the city’s old railway station.
-
B.
Praça Nova
Praça Nova is a central public square in Mindelo, Cape Verde, known as a popular social and cultural gathering spot surrounded by historic buildings and cafés.
-
C.
Praça de São Bento
Praça de São Bento is a public square in Portugal known for its historical and cultural significance within its local urban setting.
-
D.
Praça Onze
Praça Onze is a historic square in Rio de Janeiro, Brazil, known as a former cultural hub of samba and Afro-Brazilian communities.
-
E.
Praça Diogo de Vasconcelos
Praça Diogo de Vasconcelos is a central square and popular social and commercial hub in the Savassi neighborhood of Belo Horizonte, Brazil.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335c2d7481909a44b45d95492e02 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.