Triple
T3853645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maury AOC |
E85357
|
entity |
| Predicate | agingStyle |
P31167
|
FINISHED |
| Object | oxidative aging |
—
|
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: oxidative aging | Statement: [Maury AOC, agingStyle, oxidative aging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingStyle Context triple: [Maury AOC, agingStyle, oxidative aging]
-
A.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
B.
agingMethod
chosen
Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
-
C.
approachStyle
Indicates the manner or strategy with which one entity moves toward, engages with, or initiates interaction with another entity or target.
-
D.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
E.
spreadingStyle
Indicates how an entity extends, disperses, or propagates from its source across a medium, area, or set of targets.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec0438308190865ff74bee5a1cf2 |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.