Triple
T17676421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SparseMatrixCSC |
E440652
|
entity |
| Predicate | belongsToModule |
P128514
|
FINISHED |
| Object | SparseArrays |
—
|
NE NERFINISHED |
How this triple was built (3 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: SparseArrays | Statement: [SparseMatrixCSC, belongsToModule, SparseArrays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SparseArrays Context triple: [SparseMatrixCSC, belongsToModule, SparseArrays]
-
A.
SparseArrays
chosen
SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
-
B.
CSR (Compressed Sparse Row)
CSR (Compressed Sparse Row) is a memory-efficient sparse matrix storage format that stores only nonzero elements and their indices in row-major order to enable fast arithmetic and matrix–vector operations.
-
C.
SparseMatrixCSC
SparseMatrixCSC is a Julia data type representing sparse matrices stored in compressed sparse column (CSC) format for efficient memory use and linear algebra operations.
-
D.
RandomAccessCollection
RandomAccessCollection is a Swift protocol for collections that support efficient, index-based random access to their elements in constant time.
-
E.
Very Large Array
The Very Large Array is a world-renowned radio astronomy observatory in New Mexico composed of 27 large dish antennas arranged in a Y-shaped configuration to study celestial radio sources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToModule Context triple: [SparseMatrixCSC, belongsToModule, SparseArrays]
-
A.
belongsToBlock
Indicates that something is a member or component of a specific block or grouping.
-
B.
belongsToPlatform
Indicates that something is associated with, owned by, or part of a particular platform.
-
C.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
D.
belongsToSegment
Indicates that an entity is a member of, or associated with, a specific segment or subgroup within a larger set.
-
E.
belongsToStyle
Indicates that something is associated with, classified under, or part of a particular style or stylistic category.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:01 a.m.