Triple

T36467566
Position Surface form Disambiguated ID Type / Status
Subject algorithmic number theory E898460 entity
Predicate notableAlgorithm P25130 FINISHED
Object AKS primality test E734843 NE 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: AKS primality test | Statement: [algorithmic number theory, notableAlgorithm, AKS primality test]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAlgorithm
Context triple: [algorithmic number theory, notableAlgorithm, AKS primality test]
  • A. relatedAlgorithm chosen
    Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
  • B. notableProgramming
    Indicates that an entity is notably associated with programming, such as being recognized for significant work, skill, or contributions in the field of programming.
  • C. notableStable
    Indicates that the subject is a notable or historically significant stable associated with the object.
  • D. notableCode
    Indicates that the subject is associated with a code (e.g., identifier, standard, or classification) that is considered notable or significant in some context.
  • E. notableScheme
    Indicates that an entity is particularly recognized or prominent within a specific scheme, system, or organizational framework.
  • F. None of above.

Provenance (4 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39cfd308d08190abcc9238d2060a78 completed June 23, 2026, 12:14 a.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:10 p.m.