Triple
T19964469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largo do Calhariz |
E479893
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Rua da Rosa |
—
|
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 Rosa | Statement: [Largo do Calhariz, connectsWith, Rua da Rosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rua da Rosa Context triple: [Largo do Calhariz, connectsWith, Rua da Rosa]
-
A.
Rua da Rosa
chosen
Rua da Rosa is a historic street located in central Lisbon, Portugal, known for its traditional architecture and urban charm.
-
B.
Rua do Alecrim
Rua do Alecrim is a historic street in central Lisbon, Portugal, known for linking the Chiado area to the Cais do Sodré district and for its traditional shops, cafés, and nightlife.
-
C.
Rua dos Escudeiros
Rua dos Escudeiros is a historic street located in the old São Nicolau area of central Lisbon, Portugal.
-
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 da Prata
Rua da Prata is a historic commercial street in Lisbon’s Baixa district, known for its traditional shops and Pombaline architecture.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4417c8190912f3d85fd7a5a32 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.