Triple
T20159290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Vine |
E491660
|
entity |
| Predicate | wineBottling |
P80116
|
FINISHED |
| Object | small 250 ml bottles |
—
|
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: small 250 ml bottles | Statement: [Old Vine, wineBottling, small 250 ml bottles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineBottling Context triple: [Old Vine, wineBottling, small 250 ml bottles]
-
A.
wineComponent
Indicates that one entity is a constituent ingredient or part of a wine represented by the other entity.
-
B.
wineLaw
Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
-
C.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
-
D.
wineExport
Indicates a relationship where one entity exports wine to another entity or destination.
-
E.
oftenBottledIn
chosen
Indicates that something is frequently or customarily contained or packaged in bottles.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:34 p.m.