Triple
T15572296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambertin |
E374274
|
entity |
| Predicate | recognizedAsGrandCruSince |
P119234
|
FINISHED |
| Object | 1937 (AOC creation year) |
—
|
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 (AOC creation year) | Statement: [Chambertin, recognizedAsGrandCruSince, 1937 (AOC creation year)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsGrandCruSince Context triple: [Chambertin, recognizedAsGrandCruSince, 1937 (AOC creation year)]
-
A.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
B.
appellationCreationYear
Indicates the year in which the appellation (official name or title) was formally created or established.
-
C.
notablePremierCru
Indicates that a subject is recognized as a distinguished or especially noteworthy Premier Cru within its classification.
-
D.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
-
E.
appellationLevel
Indicates the hierarchical rank or degree of formality of a name, title, or designation assigned to an entity.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.