Triple
T4425093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MATLAB |
E95188
|
entity |
| Predicate | defaultNumericType |
P6941
|
FINISHED |
| Object | double-precision floating-point |
—
|
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: double-precision floating-point | Statement: [MATLAB, defaultNumericType, double-precision floating-point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultNumericType Context triple: [MATLAB, defaultNumericType, double-precision floating-point]
-
A.
logicalType
Indicates that one entity is classified as a logical type or category used to define or constrain the logical behavior or interpretation of another entity.
-
B.
floatType
chosen
Indicates that an entity has a specific floating-point data type or is categorized as a floating-point numeric value.
-
C.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
D.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
E.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.