Triple
T16092861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barlavento Islands |
E390400
|
entity |
| Predicate | hasSubdivisions |
P747
|
FINISHED |
| Object | Santa Luzia |
E618755
|
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: Santa Luzia | Statement: [Barlavento Islands, hasSubdivisions, Santa Luzia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Luzia Context triple: [Barlavento Islands, hasSubdivisions, Santa Luzia]
-
A.
Santa Luzia
Santa Luzia is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
-
B.
Santa Luzia
Santa Luzia is a small fishing village in Portugal’s Algarve region, known for its traditional octopus fishing and tranquil coastal atmosphere.
-
C.
Santa Luzia
Santa Luzia is a locality on Pico Island in the Azores, Portugal, known for its traditional vineyards that form part of the UNESCO-listed Pico Island Vineyard Culture landscape.
-
D.
Santa Luzia (historically)
chosen
Santa Luzia is an uninhabited island in Cape Verde that historically had associations with the Barlavento (northern) Cape Verdean Creole dialects.
-
E.
Santo Afonso
Santo Afonso is a residential district within the city of Novo Hamburgo in the state of Rio Grande do Sul, Brazil.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858ed09881909bde122971d95753 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79a96d08190af69cbb18037f66e |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:59 a.m.