Triple
T26254110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M |
E656673
|
entity |
| Predicate | hasIrreducibleComplexCharacters |
P77171
|
FINISHED |
| Object | 194 |
—
|
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: 194 | Statement: [M, hasIrreducibleComplexCharacters, 194]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIrreducibleComplexCharacters Context triple: [M, hasIrreducibleComplexCharacters, 194]
-
A.
hasIrreducibleRepresentationOfDimension
chosen
Indicates that an entity possesses an irreducible representation whose vector space has the specified dimension.
-
B.
hasMinimalFaithfulComplexRepresentationDegree
Indicates the smallest dimension in which a faithful (injective) complex linear representation of the given object exists.
-
C.
hasIrreducibleRepresentationsLabeledBy
Indicates that the subject possesses irreducible representations that are classified or indexed according to the object.
-
D.
hasUniqueIrreducibleUnitaryRepresentationUpToEquivalence
Indicates that there exists exactly one irreducible unitary representation of the entity (up to unitary equivalence), so any two such representations are equivalent.
-
E.
hasMinimalFaithfulLinearRepresentation
Indicates that there exists a faithful linear representation of the entity (e.g., a group) whose dimension is minimal among all its faithful linear representations.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dcc29cc81908880bd825cb12141 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:08 p.m.