Triple
T16782282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carinyena |
E407884
|
entity |
| Predicate | widelyGrownIn |
P2078
|
FINISHED |
| Object | Priorat |
E391594
|
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: Priorat | Statement: [Carinyena, widelyGrownIn, Priorat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Priorat Context triple: [Carinyena, widelyGrownIn, Priorat]
-
A.
Priorat
chosen
Priorat is a renowned wine-producing comarca in Catalonia, Spain, famous for its steep vineyards and powerful red wines.
-
B.
Alt Penedès
Alt Penedès is a comarca in Catalonia, Spain, renowned for its vineyards and production of cava and other wines.
-
C.
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.
-
D.
Montsant
Montsant is a Spanish wine region in Catalonia known for producing robust, Mediterranean-style red wines, particularly from Garnacha (Garnatxa) and Cariñena grapes.
-
E.
Penedès DO
Penedès DO is a renowned Spanish wine region in Catalonia, particularly famous for its diverse still wines and its role in the production of Cava sparkling wine.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b217b2108190bbba262a3b324509 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29bcfe08190a281446f174a94f6 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:22 a.m.