Triple

T37259116
Position Surface form Disambiguated ID Type / Status
Subject Naimark problem E924211 entity
Predicate hasNegativeAnswerUnderAssumption P202564 FINISHED
Object diamond principle NE NERFINISHED

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, hasNegativeAnswerUnderAssumption, diamond principle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNegativeAnswerUnderAssumption
Context triple: [Naimark problem, hasNegativeAnswerUnderAssumption, diamond principle]
  • A. hasSolutionUnderAssumption
    Indicates that a problem or statement has a valid solution when a specified assumption or set of assumptions is taken to hold.
  • B. rejectsAssumption
    Indicates that one entity explicitly refuses to accept or denies the validity of a proposed assumption made by another entity.
  • C. assumptionTested
    Indicates that an assumption or hypothesis has been subjected to a test or evaluation to verify its validity.
  • D. negativeAnswerYear
    Indicates that an answer, decision, or response given in a particular year was negative (e.g., a refusal, denial, or rejection) associated with the subject.
  • E. avoidsAssumption
    Indicates that one entity deliberately refrains from making a particular assumption about another entity or situation.
  • 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_6a0091ad8b8c8190b0f00a3358e59bc1 completed May 10, 2026, 2:09 p.m.
PD Predicate disambiguation batch_6a008f2813ec81909a54c2dfa5c75dc7 completed May 10, 2026, 1:59 p.m.
PDg Predicate description generation batch_6a0091ac9ff08190b635eac6aa3f6128 completed May 10, 2026, 2:09 p.m.
Created at: May 3, 2026, 4:15 p.m.