Triple
T36491801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | miniImageNet |
E899067
|
entity |
| Predicate | hasClassBalance |
P118265
|
FINISHED |
| Object | approximately balanced across classes |
—
|
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: approximately balanced across classes | Statement: [miniImageNet, hasClassBalance, approximately balanced across classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassBalance Context triple: [miniImageNet, hasClassBalance, approximately balanced across classes]
-
A.
isBalanced
chosen
Indicates that the elements or parts involved are in a state of equilibrium, with no side or component outweighing or dominating the others.
-
B.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
C.
hasClassSize
Indicates the number of individuals or units that make up a particular class or group.
-
D.
hasClassName
Indicates that an entity is associated with or identified by a specific class name in a classification or type system.
-
E.
hasClassGroup
Indicates that an entity belongs to or is associated with a particular class group or category.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 3, 2026, 4:10 p.m.