Triple
T24764439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura Seven Wood |
E619540
|
entity |
| Predicate | numberOfCaskTypes |
P162061
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Jura Seven Wood, numberOfCaskTypes, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCaskTypes Context triple: [Jura Seven Wood, numberOfCaskTypes, 7]
-
A.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
B.
offersCaskFinishes
Indicates that an entity provides or makes available products or items that have undergone additional aging or finishing in specific casks.
-
C.
hasApproximateNumberOfVarieties
Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
-
D.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
E.
numberOfPrimaryVarieties
Indicates the count of distinct primary varieties associated with a given entity.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 18, 2026, 4:28 a.m.