Triple
T27907933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de la Marne wine region |
E705838
|
entity |
| Predicate | trainingSystemCommon |
P166466
|
FINISHED |
| Object | Guyot |
—
|
NE NERFINISHED |
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: Guyot | Statement: [Vallée de la Marne wine region, trainingSystemCommon, Guyot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingSystemCommon Context triple: [Vallée de la Marne wine region, trainingSystemCommon, Guyot]
-
A.
trainingSystem
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
-
B.
trainingComponent
Indicates that one entity functions as a training-related part, module, or element within a larger training process or system involving another entity.
-
C.
trainingPlatform
Indicates that one entity serves as a platform or environment used to deliver, manage, or conduct training activities for another entity.
-
D.
trainingStandard
Indicates that one entity defines or adheres to an established set of criteria, procedures, or benchmarks used for training or instruction of another entity.
-
E.
trainingFormat
Indicates the specific method or medium through which training is delivered or conducted.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 6:47 p.m.