Triple
T348057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabernet Franc |
E6983
|
entity |
| Predicate | typicalBody |
P3595
|
FINISHED |
| Object | medium-bodied |
—
|
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: medium-bodied | Statement: [Cabernet Franc, typicalBody, medium-bodied]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBody Context triple: [Cabernet Franc, typicalBody, medium-bodied]
-
A.
typicalBodyType
chosen
Indicates that one entity is the usual or characteristic body type associated with another entity.
-
B.
standardBody
Indicates that an entity conforms to a recognized or officially accepted body type, form, or physical specification.
-
C.
establishedBody
Indicates that an entity created, founded, or formally set up another entity, such as an organization, institution, or governing body.
-
D.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
E.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1c1c908190b3a01de893207ed1 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.