Triple
T29938498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRG32k3a generator |
E760432
|
entity |
| Predicate | hasModulus |
P144615
|
FINISHED |
| Object | 4294967087 |
—
|
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: 4294967087 | Statement: [MRG32k3a generator, hasModulus, 4294967087]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModulus Context triple: [MRG32k3a generator, hasModulus, 4294967087]
-
A.
hasModuli
chosen
Indicates that an entity possesses or is characterized by one or more moduli (e.g., parameters, modulus values, or modular structures) relevant to its definition or behavior.
-
B.
hasPrimeModulus
Indicates that the associated entity or structure is defined over, or characterized by, a modulus that is a prime number.
-
C.
modulusProperty
Indicates that one quantity is related to another through a modulus operation, typically specifying a remainder or congruence relationship under a given modulus.
-
D.
modulusType
Indicates the type or category of modulus associated with an entity or operation (e.g., which modulus definition or scheme is being used).
-
E.
modOf
Indicates that one entity is a modifier of another, specifying that it provides additional qualifying or descriptive information about that 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 29, 2026, 6:21 p.m.