Triple
T10559284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinner Roll trick |
E249171
|
entity |
| Predicate | rotationCount |
P11864
|
FINISHED |
| Object | two full rotations |
—
|
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: two full rotations | Statement: [Dinner Roll trick, rotationCount, two full rotations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotationCount Context triple: [Dinner Roll trick, rotationCount, two full rotations]
-
A.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
-
B.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
C.
rotationPractice
Indicates that an entity engages in or is involved with practicing rotational movements or rotation-related skills.
-
D.
rotationProcess
Indicates a process in which something is turned or rotated around an axis or point over time.
-
E.
movementCount
chosen
Indicates the number of times a movement or relocation action has occurred between the related entities.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271e65688190bcf7931373d87f94 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.