Triple

T37840897
Position Surface form Disambiguated ID Type / Status
Subject Rosser trick E943471 entity
Predicate avoidsAssumption P189548 FINISHED
Object ω-consistency 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: ω-consistency | Statement: [Rosser trick, avoidsAssumption, ω-consistency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: avoidsAssumption
Context triple: [Rosser trick, avoidsAssumption, ω-consistency]
  • A. rejectsAssumption
    Indicates that one entity explicitly refuses to accept or denies the validity of a proposed assumption made by another entity.
  • B. assumes
    Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
  • C. assumptionTested
    Indicates that an assumption or hypothesis has been subjected to a test or evaluation to verify its validity.
  • D. avoidedFor
    Indicates that one entity is deliberately not used, chosen, or engaged with because of the presence, influence, or characteristics of another entity.
  • E. overturnedAssumption
    Indicates that a previously held assumption has been challenged and shown to be invalid or no longer acceptable.
  • 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_69f76eeb0f7081908d6d3adbc469889c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
PDg Predicate description generation batch_69fbc36bcac48190a726b40442c094d1 completed May 6, 2026, 10:40 p.m.
Created at: May 3, 2026, 4:19 p.m.