Triple
T10510093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia do Carvalho |
E247888
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Carvoeiro |
E40947
|
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: Carvoeiro | Statement: [Praia do Carvalho, near, Carvoeiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carvoeiro Context triple: [Praia do Carvalho, near, Carvoeiro]
-
A.
Carvoeiro
chosen
Carvoeiro is a picturesque coastal village in southern Portugal known for its dramatic cliffs, sandy beaches, and role as a popular holiday destination.
-
B.
Calheta
Calheta is a coastal town on the Cape Verdean island of Maio, known for its quiet beaches and traditional island life.
-
C.
Espinho
Espinho is a coastal city and municipality in northern Portugal, known for its beaches, casino, and traditional fishing heritage.
-
D.
Odeceixe
Odeceixe is a coastal village and civil parish in Portugal’s Algarve region, known for its scenic beach at the mouth of the Ribeira de Seixe and its location within the municipality of Aljezur.
-
E.
Tavira
Tavira is a historic coastal town in Portugal’s Algarve region, known for its picturesque old town, Roman bridge, and nearby island beaches.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b542088190868531f84deaf9e4 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcee1db081908c791867e2438d30 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:27 p.m.