Triple
T22462322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo Viejo |
E555259
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Rioja |
—
|
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: Rioja | Statement: [Campo Viejo, region, Rioja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rioja Context triple: [Campo Viejo, region, Rioja]
-
A.
Rioja
Rioja is a city in northern Peru’s San Martín Region, known as a commercial and agricultural center in the Alto Mayo valley.
-
B.
Rioja Alavesa
Rioja Alavesa is a renowned wine-producing subregion of Spain’s Rioja DOCa, noted for its high-quality Tempranillo-based red wines and distinctive limestone-rich vineyards.
-
C.
Marqués del Duero
Marqués del Duero was a 19th-century Spanish warship that served in the Pacific, notably participating in naval operations during Spain’s overseas conflicts.
-
D.
La Rioja
chosen
La Rioja is an autonomous community and renowned wine-producing region in northern Spain, famous for its vineyards and historic towns along the Ebro River.
-
E.
Cariñena
Cariñena is a dark-skinned red wine grape variety traditionally associated with robust, high-acid wines and widely grown in regions such as Spain and southern France.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.