Triple
T9288103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourgogne Aligoté AOC |
E223447
|
entity |
| Predicate | oakAgingTypical |
P87418
|
FINISHED |
| Object | limited or none |
—
|
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: limited or none | Statement: [Bourgogne Aligoté AOC, oakAgingTypical, limited or none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oakAgingTypical Context triple: [Bourgogne Aligoté AOC, oakAgingTypical, limited or none]
-
A.
typicalOakAroma
Indicates that something has the characteristic smell commonly associated with oak wood or oak aging.
-
B.
vineAge
Indicates the age or length of time that a vine has been growing or established.
-
C.
typicalAgingTime
Indicates the usual duration required for something to age or mature under normal conditions.
-
D.
oakAffinity
Indicates a special connection, preference, or strong association between an entity and oak (such as oak trees, wood, or oak-related environments).
-
E.
wineAgeingPotential
Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.