Triple
T2596481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrah |
E58242
|
entity |
| Predicate | oakAging |
P2083
|
FINISHED |
| Object | commonly aged in oak barrels |
—
|
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: commonly aged in oak barrels | Statement: [Syrah, oakAging, commonly aged in oak barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oakAging Context triple: [Syrah, oakAging, commonly aged in oak barrels]
-
A.
wineAgeingPotential
Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
-
B.
wineAgeingPreference
Indicates a preference for how long wine should be aged before consumption or use.
-
C.
oakAffinity
chosen
Indicates a special connection, preference, or strong association between an entity and oak (such as oak trees, wood, or oak-related environments).
-
D.
hasWeathering
Indicates that one entity undergoes or exhibits the process of weathering caused by another entity or environmental factors.
-
E.
woodProperty
Indicates that one entity specifies or characterizes a property or attribute of wood associated with another 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.