Triple
T9910688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Catalonia |
E185132
|
entity |
| Predicate | containsComarca |
P33339
|
FINISHED |
| Object | Solsonès |
E616316
|
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: Solsonès | Statement: [Central Catalonia, containsComarca, Solsonès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solsonès Context triple: [Central Catalonia, containsComarca, Solsonès]
-
A.
Solsonès
chosen
Solsonès is a rural comarca in central Catalonia, Spain, known for its mountainous landscapes, Romanesque heritage, and the historic town of Solsona.
-
B.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
C.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
D.
Conca de Barberà
Conca de Barberà is a comarca (county) in Catalonia, Spain, known for its medieval heritage, wine production, and the presence of the UNESCO-listed Poblet Monastery.
-
E.
Vallès Occidental
Vallès Occidental is a comarca (county) in Catalonia, Spain, known for its industrial cities and proximity to Barcelona within the metropolitan area.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb512a26881908eb72a21ffb1efef |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228a405908190ad63ebd659779ed7 |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:41 p.m.