Triple
T10896951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gouet |
E257333
|
entity |
| Predicate | relationshipToChardonnay |
P96286
|
FINISHED |
| Object | parent |
—
|
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: parent | Statement: [Gouet, relationshipToChardonnay, parent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToChardonnay Context triple: [Gouet, relationshipToChardonnay, parent]
-
A.
sharesGrandCruVineyardsWith
Indicates that two entities share ownership, use, or association with the same Grand Cru–classified vineyards.
-
B.
distinctionFromOtherPinots
Indicates that something is being differentiated or set apart from other entities classified as Pinot, highlighting its unique characteristics or identity relative to them.
-
C.
hasWinemaker
Indicates that one entity serves as the winemaker responsible for producing or overseeing the production of wine for another entity.
-
D.
wineStyleComparedTo
Indicates a comparison between wines in terms of their style or stylistic characteristics.
-
E.
usesWineType
Indicates that one entity makes use of, incorporates, or is associated with a particular type or category of wine.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.