Triple
T32517007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curve448 |
E831085
|
entity |
| Predicate | primeFieldSize |
P56108
|
FINISHED |
| Object | 448-bit prime |
—
|
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: 448-bit prime | Statement: [Curve448, primeFieldSize, 448-bit prime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primeFieldSize Context triple: [Curve448, primeFieldSize, 448-bit prime]
-
A.
usesFiniteField
Indicates that one entity employs or operates within a finite field as part of its structure, computation, or definition.
-
B.
multiplicativeGroupOrder
Indicates the size (number of elements) of the multiplicative group associated with a given structure or modulus.
-
C.
additiveGroupOrder
Indicates the relationship that specifies the order (number of elements) of an additive group.
-
D.
isSmallestFieldOfCharacteristic
Indicates that a field is the minimal (by inclusion) field having a given characteristic among all fields with that characteristic.
-
E.
hasPrimeModulus
chosen
Indicates that the associated entity or structure is defined over, or characterized by, a modulus that is a prime number.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1 a.m.