Triple
T27675082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobian matrix |
E697756
|
entity |
| Predicate | codomainDimension |
P6122
|
FINISHED |
| Object | m |
—
|
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: m | Statement: [Jacobian matrix, codomainDimension, m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codomainDimension Context triple: [Jacobian matrix, codomainDimension, m]
-
A.
codomain
Indicates the set of all possible output values that a function or mapping can produce, regardless of which values are actually attained.
-
B.
dimensionCount
chosen
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
-
C.
categoryCodomain
Indicates that something belongs to, or is classified within, the codomain category of a given mapping or function.
-
D.
codimensionParameter
Indicates a parameter that specifies the codimension, i.e., how many dimensions lower one entity is relative to another reference space or object.
-
E.
dimensionOfAmbientSpace
Indicates the dimensionality of the surrounding or embedding space in which an object or structure exists.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63532e35881909bfe0a8a315e2efe |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:43 p.m.