Triple
T32023624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Champagne (Cognac cru) |
E817759
|
entity |
| Predicate | eauxDeVieAgingPotential |
P9794
|
FINISHED |
| Object | very long |
—
|
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: very long | Statement: [Grande Champagne (Cognac cru), eauxDeVieAgingPotential, very long]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eauxDeVieAgingPotential Context triple: [Grande Champagne (Cognac cru), eauxDeVieAgingPotential, very long]
-
A.
wineAgeingPotential
chosen
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.
vineAge
Indicates the age or length of time that a vine has been growing or established.
-
D.
wineStructure
Indicates the overall sensory framework of a wine, encompassing how its components like acidity, tannin, body, and alcohol are balanced and interact.
-
E.
wineAgingVessel
Indicates the type of container or vessel in which a wine is aged.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4684000819090d1f2f28af40db9 |
completed | May 3, 2026, 2:35 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:17 a.m.