Triple
T28265405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urlați |
E712688
|
entity |
| Predicate | hasWineVariety |
P91796
|
FINISHED |
| Object | white wines |
—
|
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: white wines | Statement: [Urlați, hasWineVariety, white wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWineVariety Context triple: [Urlați, hasWineVariety, white wines]
-
A.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
B.
hasWineCategory
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
-
C.
grapeVarietal
Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another entity.
-
D.
wineVariety
chosen
Indicates the specific type or variety of wine associated with an entity.
-
E.
hasWineBrand
Indicates a relationship where an entity is associated with or offers a specific wine brand.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 11:14 p.m.