Triple
T27596718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viennese waltz |
E699919
|
entity |
| Predicate | basicFigure |
P162731
|
FINISHED |
| Object | reverse turn |
—
|
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: reverse turn | Statement: [Viennese waltz, basicFigure, reverse turn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basicFigure Context triple: [Viennese waltz, basicFigure, reverse turn]
-
A.
basicFigure
chosen
Indicates that one entity serves as the primary or fundamental figure or shape in relation to another entity.
-
B.
coreFigure
Indicates that an entity serves as the central or most important figure within a given context, group, or structure.
-
C.
baseShape
Indicates that one entity serves as the fundamental or underlying shape or form upon which another entity is defined, derived, or constructed.
-
D.
figureType
Indicates that one entity is classified as a specific type or category of figure in relation to another entity.
-
E.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:06 p.m.