Triple

T34415979
Position Surface form Disambiguated ID Type / Status
Subject Negation E883403 entity
Predicate doubleNegationFormulation P90301 FINISHED
Object ¬¬p is equivalent to p in classical logic 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: ¬¬p is equivalent to p in classical logic | Statement: [Negation, doubleNegationFormulation, ¬¬p is equivalent to p in classical logic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doubleNegationFormulation
Context triple: [Negation, doubleNegationFormulation, ¬¬p is equivalent to p in classical logic]
  • A. negativeFormulation
    Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
  • B. hasEquivalentFormulation chosen
    Indicates that two representations, statements, or formulations express the same underlying meaning, condition, or effect, even if they differ in form.
  • C. negates
    Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
  • D. hasCanonicalFormulation
    Indicates that one entity is the standard or officially accepted formulation or expression of another entity.
  • E. originalFormulation
    Indicates that one entity is the initial or earliest version in which another entity (such as an idea, work, or product) was first expressed or formulated.
  • 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_69f349c2e3b88190a67834eb5bcffeaf completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71947ad88819082ab9d85dd493b01 completed May 3, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69f71824431081908d9685d2462ea242 completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:59 a.m.