Triple
T8783343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matryoshka dolls |
E208985
|
entity |
| Predicate | outermostFigure |
P56101
|
FINISHED |
| Object | largest doll |
—
|
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: largest doll | Statement: [Matryoshka dolls, outermostFigure, largest doll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outermostFigure Context triple: [Matryoshka dolls, outermostFigure, largest doll]
-
A.
coreFigure
Indicates that an entity serves as the central or most important figure within a given context, group, or structure.
-
B.
outerSurface
chosen
Indicates that one entity forms the external boundary or outermost layer of another entity.
-
C.
centralFigureMaterial
Indicates that the material specified is the primary substance from which the central figure in a composition or object is made.
-
D.
largestFigureLengthApprox
Indicates an approximate measurement of the length of the largest figure involved in the relationship or context.
-
E.
linkedFigure
Indicates that one figure is associated or connected to another figure, typically as a reference or related visual element.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f72f4bc8190b85bd051d3db6881 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.