Triple

T29096310
Position Surface form Disambiguated ID Type / Status
Subject DNA computing E735011 entity
Predicate canSolve P8791 FINISHED
Object NP-hard problems 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: NP-hard problems | Statement: [DNA computing, canSolve, NP-hard problems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canSolve
Context triple: [DNA computing, canSolve, NP-hard problems]
  • A. canBeSolvable
    Indicates that a problem, situation, or condition has the potential to be resolved or successfully solved under some circumstances.
  • B. providesSolutionFor
    Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
  • C. admitsSolution
    Indicates that a problem, system, or situation allows for or possesses at least one valid solution.
  • D. problemTypeSolved
    Indicates that a given problem has been successfully solved or resolved by a particular entity or method.
  • E. commonlySolvedBy chosen
    Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
  • 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_69f05b0ed66481908f2e864fa550d2f1 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6618129b08190ac4bbb0cd24d957c completed May 2, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f65c2376a08190be5215171e908e69 completed May 2, 2026, 8:18 p.m.
Created at: April 28, 2026, 11:09 a.m.