Triple
T10141055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estômbar |
E231583
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Lagoa |
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 | Statement: [Estômbar, municipality, Lagoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagoa Context triple: [Estômbar, municipality, Lagoa]
-
A.
Lagoa
chosen
Lagoa is a town and municipality in Portugal’s Algarve region, known for its coastal scenery, beaches, and wine production.
-
B.
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.
-
C.
Lagoa Comprida
Lagoa Comprida is a large glacial lake and reservoir in Portugal’s Serra da Estrela mountains, popular for its scenic views and outdoor recreation.
-
D.
Lagoa Comprida
Lagoa Comprida is a scenic freshwater lake on Flores Island in Portugal’s Azores archipelago, known for its tranquil setting amid lush volcanic landscapes.
-
E.
Lagoa Mundaú
Lagoa Mundaú is a coastal lagoon in Alagoas, Brazil, known for its scenic boat tours, mangrove landscapes, and traditional fishing communities near Maceió.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e603d4548190a561e735c603946f |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.