Triple
T34226887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrera d'Anoia |
E878074
|
entity |
| Predicate | isInWineArea |
P159942
|
FINISHED |
| Object | near Penedès DO |
—
|
LITERAL 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: near Penedès DO | Statement: [Cabrera d'Anoia, isInWineArea, near Penedès DO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInWineArea Context triple: [Cabrera d'Anoia, isInWineArea, near Penedès DO]
-
A.
isInWineOrBeerRegion
Indicates that something is located within a geographic area known for producing wine or beer.
-
B.
isInWineOrSpiritsRegion
chosen
Indicates that one entity (typically a location or product) is situated within or associated with a designated wine or spirits-producing region of another entity.
-
C.
includesWineProvince
Indicates that one entity (typically a region or collection) contains or encompasses a specific wine-producing province within its scope.
-
D.
isWineRegionGateway
Indicates that a location serves as an entry point or primary access hub to a wine-producing region.
-
E.
hasNearbyWinery
Indicates that one entity is located close to, or in the vicinity of, a winery.
- F. None of above.
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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710ae052c8190bc5a79584d292c1c |
completed | May 3, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.