Triple
T9288117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourgogne Aligoté AOC |
E223447
|
entity |
| Predicate | minimumPlantingDensity |
P87419
|
FINISHED |
| Object | regulated by INAO |
—
|
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: regulated by INAO | Statement: [Bourgogne Aligoté AOC, minimumPlantingDensity, regulated by INAO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumPlantingDensity Context triple: [Bourgogne Aligoté AOC, minimumPlantingDensity, regulated by INAO]
-
A.
numberOfPlants
Indicates the total count of plants associated with a given entity or context.
-
B.
plantArea
Indicates the total surface area occupied or covered by a plant or group of plants.
-
C.
plantHeight
Indicates the measured vertical size or growth extent of a plant from its base to its top.
-
D.
numberOfCrops
Indicates the quantity or count of crops associated with a given entity or context.
-
E.
hasCanopyDensity
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
- 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.