Triple
T22401868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Masnou |
E553779
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Alella |
—
|
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: Alella | Statement: [El Masnou, hasNeighbouringMunicipality, Alella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alella Context triple: [El Masnou, hasNeighbouringMunicipality, Alella]
-
A.
Alella
chosen
Alella is a small coastal wine-producing town in Catalonia, Spain, known for its Denominación de Origen (DO) Alella wines and proximity to Barcelona.
-
B.
Alela
Alela is the given name of American folk singer-songwriter Alela Diane.
-
C.
Allye
Allye is a given name, typically a variant spelling of the name Allie.
-
D.
Ellzey
Ellzey is a surname most notably associated with Jake Ellzey, a U.S. politician and former Navy fighter pilot serving as a congressman from Texas.
-
E.
ALLA
ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.