Triple

T37259114
Position Surface form Disambiguated ID Type / Status
Subject Naimark problem E924211 entity
Predicate hasSolutionUnderAssumption P195479 FINISHED
Object diamond principle 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: diamond principle | Statement: [Naimark problem, hasSolutionUnderAssumption, diamond principle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSolutionUnderAssumption
Context triple: [Naimark problem, hasSolutionUnderAssumption, diamond principle]
  • A. admitsSolution
    Indicates that a problem, system, or situation allows for or possesses at least one valid solution.
  • B. isSolutionOf
    Indicates that one entity is a correct answer or satisfies the conditions of a given problem, equation, or task.
  • C. hasSolutionSpace
    Indicates that there exists a set of possible solutions or outcomes associated with a given problem, constraint, or system.
  • D. assumptionTested
    Indicates that an assumption or hypothesis has been subjected to a test or evaluation to verify its validity.
  • E. hasFiniteNumberOfSolutions
    Indicates that the related equation, system, or problem has only a limited, countable set of distinct solutions, rather than infinitely many or none.
  • F. None of above. chosen

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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
PDg Predicate description generation batch_69fdd2bda90881909aa229194d014ba7 completed May 8, 2026, 12:10 p.m.
Created at: May 3, 2026, 4:15 p.m.