Triple
T3042668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Trotanoy |
E83166
|
entity |
| Predicate | ageingPotential |
P9794
|
FINISHED |
| Object | 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: long-term cellaring | Statement: [Château Trotanoy, ageingPotential, long-term cellaring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageingPotential Context triple: [Château Trotanoy, ageingPotential, long-term cellaring]
-
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.
vineAge
Indicates the age or length of time that a vine has been growing or established.
-
C.
wineAgeingPreference
Indicates a preference for how long wine should be aged before consumption or use.
-
D.
agingPotential
Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
-
E.
ageProgression
Indicates a temporal relationship where an entity’s age increases or advances over time.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.