Triple
T13239333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ter |
E315238
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ripollès |
E465704
|
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: Ripollès | Statement: [Ter, flowsThrough, Ripollès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ripollès Context triple: [Ter, flowsThrough, Ripollès]
-
A.
Ripollès
chosen
Ripollès is a mountainous comarca in the Catalan Pyrenees of northeastern Spain, known for its Romanesque heritage, natural landscapes, and proximity to the French border.
-
B.
Granollers
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.
-
C.
Benicarló
Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
-
D.
Ripoll
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
-
E.
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.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72664b9a48190a76e0c3dfaaf3d7a |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.