Triple
T33626020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Palmer |
E861405
|
entity |
| Predicate | barrelRegime |
P176970
|
FINISHED |
| Object | high proportion of new oak |
—
|
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: high proportion of new oak | Statement: [Château Palmer, barrelRegime, high proportion of new oak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barrelRegime Context triple: [Château Palmer, barrelRegime, high proportion of new oak]
-
A.
barrelType
Indicates the specific kind or category of barrel associated with or used in relation to an entity.
-
B.
barrelLife
Indicates the duration or extent to which a barrel remains functional or effective before it needs replacement or maintenance.
-
C.
hasBarrel
Indicates that one entity possesses, includes, or is equipped with a barrel as a component or feature.
-
D.
barrelOrientation
Indicates the directional alignment or angle at which a barrel is positioned relative to a reference frame or object.
-
E.
barrelLengthVariants
Indicates that one entity has different versions or configurations distinguished by variations in barrel length.
- 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:41 a.m.