Triple
T19873764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua do Crucifixo |
E477585
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rua da Prata |
—
|
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: Rua da Prata | Statement: [Rua do Crucifixo, near, Rua da Prata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rua da Prata Context triple: [Rua do Crucifixo, near, Rua da Prata]
-
A.
Rua da Prata
chosen
Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
-
B.
Rua de São Paulo
Rua de São Paulo is a notable street in Lisbon’s historic center, known for its traditional architecture, nightlife, and proximity to the city’s iconic riverside and hilltop neighborhoods.
-
C.
Rua de São Sebastião
Rua de São Sebastião is a street in Coimbra, Portugal, situated in the historic area near the São Sebastião Aqueduct.
-
D.
Rua da Vitória
Rua da Vitória is a historic street in central Lisbon, Portugal, known for its traditional shops and location in the Baixa district.
-
E.
Rua de São Bento
Rua de São Bento is a notable street in Lisbon, Portugal, known for housing the Portuguese Parliament building and connecting key areas of the city’s historic center.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.