Triple
T21881651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvega e Concavada |
E540295
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Alvega e Concavada |
—
|
NE NERFINISHED |
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: Alvega e Concavada | Statement: [Alvega e Concavada, hasName, Alvega e Concavada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvega e Concavada Context triple: [Alvega e Concavada, hasName, Alvega e Concavada]
-
A.
Alvega e Concavada
chosen
Alvega e Concavada is a civil parish in the municipality of Abrantes, in central Portugal, formed by the merger of the former parishes of Alvega and Concavada.
-
B.
Coveñas
Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
-
C.
Elciego
Elciego is a small wine-producing town in Spain’s Rioja Alavesa region, known for its historic wineries and striking contemporary architecture.
-
D.
Grajales
Grajales is a Spanish-language surname most notably associated with Mariana Grajales, a revered figure in Cuban history and the independence movement.
-
E.
Cuesta de la Vega
Cuesta de la Vega is a historic street and steep slope in central Madrid, Spain, known for linking the city’s old quarter with the area around the Almudena Cathedral and Royal Palace.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e7a3c48190be1cc285ad4b6496 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:04 p.m.