Triple
T10769166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallès Oriental |
E254029
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Granollers |
E957442
|
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: Granollers | Statement: [Vallès Oriental, contains, Granollers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granollers Context triple: [Vallès Oriental, contains, Granollers]
-
A.
Granollers
chosen
Granollers is a town and municipality in Catalonia, Spain, known as an important commercial and industrial center and the capital of the comarca of Vallès Oriental.
-
B.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
C.
Gandria
Gandria is a picturesque lakeside village in southern Switzerland known for its historic stone houses, narrow alleyways, and scenic setting on the shores of Lake Lugano.
-
D.
Guardiola de Berguedà
Guardiola de Berguedà is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its mountainous surroundings and proximity to the Pyrenees.
-
E.
Sant Celoni
Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7304bc684819083ca999f283b0cb3 |
completed | May 3, 2026, 11:23 a.m. |
Created at: April 8, 2026, 9:16 p.m.