Triple
T19944845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baixa district of Lisbon |
E479394
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Rua do Ouro |
—
|
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 do Ouro | Statement: [Baixa district of Lisbon, contains, Rua do Ouro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rua do Ouro Context triple: [Baixa district of Lisbon, contains, Rua do Ouro]
-
A.
Rua do Ouro
chosen
Rua do Ouro is a historic commercial street in central Lisbon, Portugal, known for its traditional shops and location in the Baixa district.
-
B.
Rua da Prata
Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
-
C.
Rua dos Correeiros
Rua dos Correeiros is a historic commercial street in downtown Lisbon, Portugal, known for its traditional shops and central location near major city landmarks.
-
D.
Rua das Flores
Rua das Flores is a historic street, likely located in a Portuguese-speaking city, known for its traditional architecture and urban charm.
-
E.
Rua da Alfândega
Rua da Alfândega is a historic street in Lisbon’s central Santa Maria Maior parish, known for its proximity to the old customs area along the Tagus riverfront.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6654f481908089e1d66e17e024 |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.