Triple
T8505599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubik's Cube |
E201324
|
entity |
| Predicate | numberOfPossiblePermutationsStandardCube |
P38957
|
FINISHED |
| Object | 43,252,003,274,489,856,000 |
—
|
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: 43,252,003,274,489,856,000 | Statement: [Rubik's Cube, numberOfPossiblePermutationsStandardCube, 43,252,003,274,489,856,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPossiblePermutationsStandardCube Context triple: [Rubik's Cube, numberOfPossiblePermutationsStandardCube, 43,252,003,274,489,856,000]
-
A.
numberOfSpiredTetrahedrons
Indicates the count of spired tetrahedron structures associated with a given subject.
-
B.
numberOfDistinctAssemblies
chosen
Indicates the count of unique assemblies associated with or involved in a given entity or context.
-
C.
hasRank3PermutationRepresentation
Indicates that the entity has a permutation representation of rank 3, meaning it acts transitively on a set that decomposes into exactly three orbits under the point stabilizer.
-
D.
numberOfSides
Indicates the relationship that specifies how many sides a given object or shape has.
-
E.
numberOfConjugacyClasses
Indicates the total count of distinct conjugacy classes associated with a given group.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5d8b7208190b199c56bf366c692 |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.