Triple
T36979153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toro Denominación de Origen wine |
E914776
|
entity |
| Predicate | countryWineClassification |
P89316
|
FINISHED |
| Object | D.O. (Denominación de Origen) |
E2146305
|
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: D.O. (Denominación de Origen) | Statement: [Toro Denominación de Origen wine, countryWineClassification, D.O. (Denominación de Origen)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryWineClassification Context triple: [Toro Denominación de Origen wine, countryWineClassification, D.O. (Denominación de Origen)]
-
A.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
-
B.
wineCountry
Indicates that a location is recognized as a region where wine is produced, typically known for its vineyards and wineries.
-
C.
wineClassificationRegion
chosen
Indicates that a wine is classified according to the geographic region where it is produced or designated.
-
D.
wineRegionCategory
Indicates a classification relationship where a wine region is assigned to a specific category or type of wine-producing area.
-
E.
wineStyleOrigin
Indicates that a particular wine style originated in or is traditionally associated with a specific geographic region or place.
- F. None of above.
Provenance (4 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0340784c488190aa6c7c9be2e8a434 |
completed | May 12, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c4be7448190849a415a06c78f0e |
completed | June 26, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_6a033f33eddc819091507716f6ed7d7d |
completed | May 12, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:14 p.m.