Triple
T22401866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Masnou |
E553779
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Premià de Mar |
—
|
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: Premià de Mar | Statement: [El Masnou, hasNeighbouringMunicipality, Premià de Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Premià de Mar Context triple: [El Masnou, hasNeighbouringMunicipality, Premià de Mar]
-
A.
Premià de Mar
chosen
Premià de Mar is a coastal town and municipality in the comarca of Maresme in Catalonia, northeastern Spain, known for its Mediterranean beaches and proximity to Barcelona.
-
B.
Arenys de Mar
Arenys de Mar is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its fishing port and Mediterranean beaches.
-
C.
Salou
Salou is a popular coastal resort town on Spain’s Costa Daurada, known for its beaches, tourism, and proximity to the PortAventura World theme park.
-
D.
Deià
Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
-
E.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
- 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.