Triple
T17676504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SymTridiagonal |
E440654
|
entity |
| Predicate | isSubtypeOf |
P1244
|
FINISHED |
| Object | AbstractMatrix |
—
|
NE NERFINISHED |
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: AbstractMatrix | Statement: [SymTridiagonal, isSubtypeOf, AbstractMatrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AbstractMatrix Context triple: [SymTridiagonal, isSubtypeOf, AbstractMatrix]
-
A.
AbstractMatrix
chosen
AbstractMatrix is a core Julia type that defines the generic interface and behavior for all two-dimensional array and matrix-like structures in the LinearAlgebra ecosystem.
-
B.
BlockBandedMatrix
BlockBandedMatrix is a Julia matrix type representing sparse matrices composed of dense blocks arranged in a banded structure, optimized for efficient storage and linear algebra operations.
-
C.
DMatrix
DMatrix is XGBoost’s optimized internal data structure for storing and accessing training data efficiently during model training and prediction.
-
D.
MPSMatrix
MPSMatrix is a Metal Performance Shaders class that represents and accelerates high-performance matrix computations on Apple GPUs.
-
E.
Modular Transverse Matrix
Modular Transverse Matrix is Volkswagen Group’s flexible vehicle architecture designed for front-engined, front-wheel-drive and all-wheel-drive cars, enabling shared components and production efficiencies across multiple models and brands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.