Triple

T18359834
Position Surface form Disambiguated ID Type / Status
Subject Rabin–Karp algorithm E439883 entity
Predicate hashCollisionProbability P70746 FINISHED
Object can be made low with large modulus 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: can be made low with large modulus | Statement: [Rabin–Karp algorithm, hashCollisionProbability, can be made low with large modulus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hashCollisionProbability
Context triple: [Rabin–Karp algorithm, hashCollisionProbability, can be made low with large modulus]
  • A. hashFunction
    Indicates a relationship where an input value is transformed into a fixed-size output (hash) according to a specific deterministic hashing algorithm.
  • 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. secondPreimageResistance
    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.
  • D. hasFailureProbability chosen
    Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
  • E. mineCountApproximate
    Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d9dba8819088c5d772e3ee670d completed April 19, 2026, 5:54 p.m.
PD Predicate disambiguation batch_69e44fed3fdc81908f4ed6a81db42416 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:37 a.m.