Triple

T1389462
Position Surface form Disambiguated ID Type / Status
Subject Noetherian induction E29920 entity
Predicate usedInProofStyle P28214 FINISHED
Object minimal counterexample argument 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: minimal counterexample argument | Statement: [Noetherian induction, usedInProofStyle, minimal counterexample argument]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInProofStyle
Context triple: [Noetherian induction, usedInProofStyle, minimal counterexample argument]
  • A. usedWithStyle
    Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
  • B. usedInCase
    Indicates that something (such as an item, method, or piece of information) is employed or applied within a particular case or instance.
  • C. usedInType
    Indicates that something serves as a component, element, or example within a particular type or category.
  • D. usedEvidenceType
    Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
  • E. usedInProtocol
    Indicates that something (e.g., a method, component, or resource) is employed as part of the steps or structure of a specific protocol.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35ce48c81909aaad7dfa2df63fa completed March 1, 2026, 10:53 p.m.
PD Predicate disambiguation batch_69a4beffcf808190ab4cd0271257ce63 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c2f16ae081908c92792253f3eb4b completed March 1, 2026, 10:51 p.m.
Created at: March 1, 2026, 7:59 p.m.