Triple
T19419696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canigó |
E485815
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vallespir |
—
|
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: Vallespir | Statement: [Canigó, near, Vallespir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallespir Context triple: [Canigó, near, Vallespir]
-
A.
Vallespir
chosen
Vallespir is a historic Catalan-influenced valley region in the eastern Pyrenees of southern France, known for its spa towns, traditional festivals, and scenic landscapes along the Tech River.
-
B.
Vallès Oriental
Vallès Oriental is a comarca (county) in Catalonia, Spain, known for its mix of industrial towns and rural landscapes northeast of Barcelona.
-
C.
Vallès Occidental
Vallès Occidental is a comarca (county) in Catalonia, Spain, known for its industrial cities and proximity to Barcelona within the metropolitan area.
-
D.
Vallès region
The Vallès region is a historical and geographical area in Catalonia, Spain, traditionally divided into the comarques of Vallès Occidental and Vallès Oriental, known for its industrial towns and proximity to Barcelona.
-
E.
Lleida Pirineus
Lleida Pirineus is a major railway station in Lleida, Catalonia, serving as a key hub for high-speed and regional train services in northeastern Spain.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63213b6ec8190b89982b554a0f6e7 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 10, 2026, 1:37 p.m.