Triple
T16076528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LINPACK |
E389991
|
entity |
| Predicate | matrixStorageFormat |
P91294
|
FINISHED |
| Object | column-major order |
—
|
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: column-major order | Statement: [LINPACK, matrixStorageFormat, column-major order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matrixStorageFormat Context triple: [LINPACK, matrixStorageFormat, column-major order]
-
A.
storageFormat
chosen
Indicates the specific way in which data or content is physically or logically organized, encoded, and stored.
-
B.
distributedFormat
Indicates that an entity is made available or disseminated in a particular format or medium.
-
C.
storageStructure
Indicates a relationship where one entity serves as a physical or logical structure used to store or contain another entity.
-
D.
supportsRowFormat
Indicates that one entity provides compatibility with or can correctly handle the specified row format of another entity.
-
E.
numberOfIndependentMatrices
Indicates the count of matrices in a set that are linearly independent from each other.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.