Triple
T11131472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Malartic-Lagravière |
E263292
|
entity |
| Predicate | agingPotentialWhite |
P72558
|
FINISHED |
| Object | medium to long-term cellaring |
—
|
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: medium to long-term cellaring | Statement: [Château Malartic-Lagravière, agingPotentialWhite, medium to long-term cellaring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingPotentialWhite Context triple: [Château Malartic-Lagravière, agingPotentialWhite, medium to long-term cellaring]
-
A.
agingPotential
Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
-
B.
agingPotentialRange
chosen
Indicates the range of time over which something is expected or able to age while maintaining its intended qualities or performance.
-
C.
agingCommon
Indicates that the entities share a common or typical pattern, process, or characteristic related to aging.
-
D.
hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
-
E.
exportPotential
Indicates the extent to which something is suitable or likely to be successfully exported to other markets or locations.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.