Triple
T31703936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Ausone |
E809129
|
entity |
| Predicate | averageVineAge |
P41717
|
FINISHED |
| Object | very old vines |
—
|
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 old vines | Statement: [Château Ausone, averageVineAge, very old vines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageVineAge Context triple: [Château Ausone, averageVineAge, very old vines]
-
A.
vineAge
chosen
Indicates the age or length of time that a vine has been growing or established.
-
B.
averageAge
Indicates the mean age value calculated from a group of entities or individuals.
-
C.
minimumAgingVintage
Indicates the earliest vintage or production year from which an item (often a wine or similar product) must date in order to meet a specified minimum aging requirement.
-
D.
VineAcquisitionYear
Indicates the year in which a vine was acquired or obtained.
-
E.
ranksVineyards
Indicates an action where an agent evaluates and orders vineyards according to some criterion of quality, preference, or performance.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:13 p.m.