Triple
T9715726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Olivier |
E235137
|
entity |
| Predicate | grandCruClasseFor |
P12904
|
FINISHED |
| Object | red wine |
—
|
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: red wine | Statement: [Château Olivier, grandCruClasseFor, red wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandCruClasseFor Context triple: [Château Olivier, grandCruClasseFor, red wine]
-
A.
hasGrandCru
chosen
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
B.
numberOfPremierCruClimats
Indicates the count of premier cru climats associated with a given entity.
-
C.
notablePremierCru
Indicates that a subject is recognized as a distinguished or especially noteworthy Premier Cru within its classification.
-
D.
sharesGrandCruVineyardsWith
Indicates that two entities share ownership, use, or association with the same Grand Cru–classified vineyards.
-
E.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0bb82081908e21a646f4de1a61 |
completed | April 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.