Triple
T17676600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mersenne Twister |
E440656
|
entity |
| Predicate | hasStateVectorLength |
P82041
|
FINISHED |
| Object | 624 |
—
|
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: 624 | Statement: [Mersenne Twister, hasStateVectorLength, 624]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStateVectorLength Context triple: [Mersenne Twister, hasStateVectorLength, 624]
-
A.
hasMinimalVectorLength
Indicates that the associated vector has a length (magnitude) that meets or exceeds a specified minimal threshold.
-
B.
hasVector
Indicates that an entity is associated with, or can be represented by, a specific vector in some vector space.
-
C.
vectorLength
chosen
Indicates the numerical magnitude or size of a vector, typically computed from its components.
-
D.
hasVariableLength
Indicates that the related entity can vary in size, duration, or extent rather than having a fixed, constant length.
-
E.
isVectorOf
Indicates that one entity is a vector representation or ordered list of components associated with another entity.
- 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_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. |
Created at: April 10, 2026, 10:01 a.m.