Triple
T12515679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twofish |
E299185
|
entity |
| Predicate | usesMDSMatrix |
P105389
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Twofish, usesMDSMatrix, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMDSMatrix Context triple: [Twofish, usesMDSMatrix, true]
-
A.
usesMultiaxialSystem
Indicates that one entity applies or operates according to a multiaxial classification or measurement system in relation to another entity or context.
-
B.
hasMAD
Indicates that an entity possesses or is associated with a specific MAD (e.g., a minimum acceptable distance, mean absolute deviation, or similarly defined MAD-related measure).
-
C.
hasAssociatedMatroid
Indicates that one object is linked to a specific matroid that is defined or associated with it.
-
D.
numberOfIndependentMatrices
Indicates the count of matrices in a set that are linearly independent from each other.
-
E.
isUsedToCompute
Indicates that one entity serves as an input, basis, or resource for performing a calculation or deriving a result about another entity.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.