Triple
T933442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baixa |
E20143
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rua do Ouro |
E104042
|
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: Rua do Ouro | Statement: [Baixa, hasPart, Rua do Ouro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rua do Ouro Context triple: [Baixa, hasPart, 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.
Via do Infante
Via do Infante is a major Portuguese motorway in the Algarve region that serves as an important east–west transport corridor near the southern coast.
-
D.
Rua de Santa Justa
Rua de Santa Justa is a historic street in central Lisbon, Portugal, known for its traditional architecture, shops, and proximity to major landmarks in the Baixa district.
-
E.
Rua Augusta
Rua Augusta is one of Lisbon’s main pedestrian shopping streets, known for its lively atmosphere, historic architecture, and central location in the Baixa district.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3627ccc8190a836515b2ea85ec5 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933a35f948190beecb14ab3c6ffd0 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:40 p.m.