Triple
T31403248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | geometric algebra |
E801055
|
entity |
| Predicate | dimensionOfAlgebra |
P171835
|
FINISHED |
| Object | 2^n for an n-dimensional vector space |
—
|
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: 2^n for an n-dimensional vector space | Statement: [geometric algebra, dimensionOfAlgebra, 2^n for an n-dimensional vector space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dimensionOfAlgebra Context triple: [geometric algebra, dimensionOfAlgebra, 2^n for an n-dimensional vector space]
-
A.
dimensionAsVectorSpaceOverℚ
Indicates that the dimension of a given vector space is being considered specifically as a vector space over the field of rational numbers ℚ.
-
B.
hasLieAlgebraDimension
Indicates that an algebraic structure is associated with a Lie algebra having a specified vector-space dimension.
-
C.
dimensionOfAmbientSpace
Indicates the dimensionality of the surrounding or embedding space in which an object or structure exists.
-
D.
hasCartanSubalgebraDimension
Indicates that an algebraic or Lie algebraic structure has a Cartan subalgebra whose dimension equals a specified value.
-
E.
dimensionOverℝ
Indicates that the dimension of a given mathematical structure is being considered or measured as a vector space over the field of real numbers ℝ.
- F. None of above. chosen
Provenance (4 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 29, 2026, 9:20 p.m.