Triple
T13986180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palomino |
E336446
|
entity |
| Predicate | primaryUseInJerez |
P45198
|
FINISHED |
| Object | base wine for biological aging under flor |
—
|
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: base wine for biological aging under flor | Statement: [Palomino, primaryUseInJerez, base wine for biological aging under flor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseInJerez Context triple: [Palomino, primaryUseInJerez, base wine for biological aging under flor]
-
A.
primaryGrapeUse
chosen
Indicates that a grape variety is primarily used for a particular purpose, such as winemaking, table consumption, or raisin production.
-
B.
SpanishPlan
Indicates a plan, strategy, or arrangement that is specifically associated with Spain or the Spanish context.
-
C.
traditionallyUsedBy
Indicates that something has been customarily or historically used by a particular person, group, or culture over time.
-
D.
mainRegionInSpain
Indicates that a location is the primary or most significant region associated with a place or entity within Spain.
-
E.
usedByNearbyTownFor
Indicates that something serves a function or purpose for a town located in close geographic proximity.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.