Triple
T15527438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rueda |
E369118
|
entity |
| Predicate | hasWineAppellation |
P6176
|
FINISHED |
| Object | Rueda DO |
E369122
|
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: Rueda DO | Statement: [Rueda, hasWineAppellation, Rueda DO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rueda DO Context triple: [Rueda, hasWineAppellation, Rueda DO]
-
A.
Rueda DO
chosen
Rueda DO is a renowned Spanish wine appellation in Castilla y León, best known for its fresh, aromatic white wines made primarily from the Verdejo grape.
-
B.
Rueda
Rueda is a Spanish town in the autonomous community of Castile and León, best known for giving its name to the renowned Rueda white wine appellation.
-
C.
Rodar y Rodar
Rodar y Rodar is a Spanish film production company best known internationally for producing the acclaimed horror film "The Orphanage."
-
D.
Roda de Ter
Roda de Ter is a small municipality in the Osona comarca of Catalonia, Spain, known for its historical textile industry and riverside setting along the Ter River.
-
E.
El Rodadero
El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d598e6c8190870e9249197f5f53 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.