Triple
T10644879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anoia |
E250810
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Conca de Barberà |
E756218
|
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: Conca de Barberà | Statement: [Anoia, borders, Conca de Barberà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conca de Barberà Context triple: [Anoia, borders, Conca de Barberà]
-
A.
Conca de Barberà
chosen
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.
-
B.
Badia del Vallès
Badia del Vallès is a small, densely populated municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its largely residential character and proximity to Barcelona.
-
C.
Segarra
Segarra is a historical inland comarca in Catalonia, Spain, known for its rolling cereal plains, medieval castles, and the town of Cervera as its capital.
-
D.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
E.
Garriga
Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de552d2d548190b6ade494ef2cbe7e |
completed | April 14, 2026, 2:54 p.m. |
Created at: April 8, 2026, 9:05 p.m.