Triple
T24909024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haro |
E623793
|
entity |
| Predicate | isWineCapitalOf |
P157223
|
FINISHED |
| Object | Rioja Alta |
—
|
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 Alta | Statement: [Haro, isWineCapitalOf, Rioja Alta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWineCapitalOf Context triple: [Haro, isWineCapitalOf, Rioja Alta]
-
A.
isFrenchWine
Indicates that the subject is a wine produced in France or recognized as originating from a French wine region.
-
B.
hasLargestWinegrowingCommune
Indicates that one entity possesses or contains the largest winegrowing commune in comparison to other relevant entities.
-
C.
notableSparklingRegion
Indicates that a region is particularly recognized or distinguished for producing sparkling wine.
-
D.
wineCountry
Indicates that a location is recognized as a region where wine is produced, typically known for its vineyards and wineries.
-
E.
wineAppellation
Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
- F. None of above. chosen
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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4236db55c8190a1c55a0db86562d8 |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:27 a.m.