Triple
T32780231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauzet |
E838333
|
entity |
| Predicate | usedInWineRegion |
P6176
|
FINISHED |
| Object | Jurançon AOC |
—
|
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: Jurançon AOC | Statement: [Lauzet, usedInWineRegion, Jurançon AOC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInWineRegion Context triple: [Lauzet, usedInWineRegion, Jurançon AOC]
-
A.
alsoProducesWineIn
Indicates that the subject, in addition to other products or activities, produces wine in the specified location or context.
-
B.
wineSubregion
Indicates that one region is a subregion within a larger, defined wine-producing region.
-
C.
isInWineOrBeerRegion
Indicates that something is located within a geographic area known for producing wine or beer.
-
D.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
E.
wineRegion
chosen
Indicates the geographical region or area where a particular wine is produced or originates.
- 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:14 a.m.