Triple
T2691618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bâtard-Montrachet |
E58413
|
entity |
| Predicate | appellationCreationYear |
P41070
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [Bâtard-Montrachet, appellationCreationYear, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appellationCreationYear Context triple: [Bâtard-Montrachet, appellationCreationYear, 1937]
-
A.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
-
B.
notableAppellation
Indicates that an entity is known by, or commonly referred to with, a particular notable name or title.
-
C.
wineAgeingPotential
Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
-
D.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
-
E.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0cb9b48190ab354c277cef9e23 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.