Triple
T23372400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU(n) |
E593508
|
entity |
| Predicate | DynkinType |
P78097
|
FINISHED |
| Object | A_{n−1} |
—
|
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: A_{n−1} | Statement: [SU(n), DynkinType, A_{n−1}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DynkinType
Context triple: [SU(n), DynkinType, A_{n−1}]
-
A.
hasDynkinDiagram
chosen
Indicates that an algebraic or Lie-theoretic structure is associated with a specific Dynkin diagram that encodes its root system or classification.
-
B.
hasCoxeterDiagram
Indicates that an abstract Coxeter group or system is associated with a specific Coxeter diagram that encodes its generating reflections and their relations.
-
C.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
-
D.
dimensionAsLieGroup
Indicates the dimension of an entity when it is considered as a Lie group, i.e., the number of independent parameters defining the group manifold.
-
E.
isCoxeterGroup
Indicates that the given group satisfies the defining relations of a Coxeter group, i.e., it is generated by reflections with relations of the form \((s_is_j)^{m_{ij}} = e\) for specified integers \(m_{ij}\).
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.