Triple
T5587171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagoa |
E146783
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Lagoa e Carvoeiro |
E146783
|
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: Lagoa e Carvoeiro | Statement: [Lagoa, hasSubdivision, Lagoa e Carvoeiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagoa e Carvoeiro Context triple: [Lagoa, hasSubdivision, Lagoa e Carvoeiro]
-
A.
Ribeira Brava
Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
-
B.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
-
C.
Lagoa
chosen
Lagoa is a town and municipality in Portugal’s Algarve region, known for its coastal scenery, beaches, and wine production.
-
D.
Lagoa
Lagoa is an affluent lakeside neighborhood in Rio de Janeiro, Brazil, known for its scenic Rodrigo de Freitas Lagoon, upscale residential areas, and recreational waterfront paths.
-
E.
Praia Dona Ana
Praia Dona Ana is a picturesque, cliff-backed sandy beach in the Algarve region of southern Portugal, renowned for its clear waters and dramatic rock formations.
- 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.