Triple
T26885219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Governor’s Cup wine competition |
E677023
|
entity |
| Predicate | resultIncludes |
P38133
|
FINISHED |
| Object | publication of winning wines list |
—
|
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: publication of winning wines list | Statement: [Virginia Governor’s Cup wine competition, resultIncludes, publication of winning wines list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultIncludes Context triple: [Virginia Governor’s Cup wine competition, resultIncludes, publication of winning wines list]
-
A.
selectionIncludes
Indicates that a chosen set or subset explicitly contains or covers the specified element(s) as part of the selection.
-
B.
componentIncluded
Indicates that one entity is a constituent part or subcomponent that is contained within or included in another entity.
-
C.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
D.
includesMatch
chosen
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
E.
reasoningIncludes
Indicates that a reasoning process or argument explicitly incorporates or makes use of the referenced element as one of its components or steps.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 5:41 a.m.