Triple
T2691558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santenay |
E58412
|
entity |
| Predicate | positionInCôteDeBeaune |
P41540
|
FINISHED |
| Object | southern end |
—
|
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: southern end | Statement: [Santenay, positionInCôteDeBeaune, southern end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCôteDeBeaune Context triple: [Santenay, positionInCôteDeBeaune, southern end]
-
A.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
B.
vineyardAreaRankInFrance
Indicates the relative position of an entity’s vineyard area compared to other vineyard areas within France, ordered by size.
-
C.
nearWineRegion
Indicates that one entity is located close to or in the vicinity of a wine-producing region.
-
D.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
-
E.
wineGrapesCultivated
Indicates that certain grape varieties are grown or cultivated specifically for producing 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_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_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.