Triple
T31080960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BLAKE2b |
E792091
|
entity |
| Predicate | secondPreimageResistanceTarget |
P91186
|
FINISHED |
| Object | 2^512 operations |
—
|
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: 2^512 operations | Statement: [BLAKE2b, secondPreimageResistanceTarget, 2^512 operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPreimageResistanceTarget Context triple: [BLAKE2b, secondPreimageResistanceTarget, 2^512 operations]
-
A.
secondPreimageResistance
chosen
Indicates that, given one input and its output under a function (typically a hash), it is computationally infeasible to find a different input that produces the same output.
-
B.
preimageResistance
Indicates that it is computationally infeasible to find any input that maps to a given output under the function (e.g., a cryptographic hash), even when that output is known.
-
C.
collisionResistanceTarget
Indicates that the entity serves as the designated object or system that a collision-resistance mechanism is intended to protect against successful collisions.
-
D.
collisionResistanceBits
Indicates the number of bits of security a cryptographic function provides against finding any two distinct inputs that produce the same output (a collision).
-
E.
difficultyTargetBits
Indicates the required difficulty level for a task or computation, expressed as a target number of leading zero bits that a valid solution must satisfy.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: April 29, 2026, 9:02 p.m.