Triple
T5587166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagoa |
E146783
|
entity |
| Predicate | hasSubdivision |
P747
|
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: [Lagoa, hasSubdivision, Carvoeiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carvoeiro Context triple: [Lagoa, hasSubdivision, 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.
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.
-
D.
Tavira
Tavira is a historic coastal town in Portugal’s Algarve region, known for its picturesque old town, Roman bridge, and nearby island beaches.
-
E.
Sernancelhe
Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209d713081908b39ee8befb2faf7 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286558b48190a8907c06111a48f3 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.