Triple

T9838789
Position Surface form Disambiguated ID Type / Status
Subject de Bruijn graph E239167 entity
Predicate commonAlgorithmicUse P89 FINISHED
Object finding Eulerian paths to reconstruct sequences 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: finding Eulerian paths to reconstruct sequences | Statement: [de Bruijn graph, commonAlgorithmicUse, finding Eulerian paths to reconstruct sequences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonAlgorithmicUse
Context triple: [de Bruijn graph, commonAlgorithmicUse, finding Eulerian paths to reconstruct sequences]
  • A. relatedAlgorithm
    Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
  • B. algorithmicProperty
    Indicates that a subject possesses a specific characteristic, behavior, or quality defined in terms of an algorithm or computational procedure.
  • C. algorithmType
    Indicates the specific kind or category of algorithm associated with an entity or process.
  • D. usesComputationMethod chosen
    Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
  • E. allegedUse
    Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34921b881909836ba0f5b42a27b completed April 2, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cd03e30bc08190816c0a6d29c21b0f completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:33 p.m.