Triple
T22835395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vila Nova de Cerveira |
E565930
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Caminha |
—
|
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: Caminha | Statement: [Vila Nova de Cerveira, hasNeighbouringMunicipality, Caminha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caminha Context triple: [Vila Nova de Cerveira, hasNeighbouringMunicipality, Caminha]
-
A.
Caminha
chosen
Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
-
B.
Encruzilhada
Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
-
C.
Campinho
Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
D.
Traves
Traves is a given name variant of Travis, used as an alternative spelling in English-speaking contexts.
-
E.
Camané
Camané is a renowned contemporary Portuguese fado singer celebrated for his expressive voice and for helping to revitalize the genre in the late 20th century.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2e3e7481909d12dc5008136880 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.