Triple

T1382898
Position Surface form Disambiguated ID Type / Status
Subject Noether normalization lemma E29377 entity
Predicate typicalProofUses P27215 FINISHED
Object induction on the number of generators 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: induction on the number of generators | Statement: [Noether normalization lemma, typicalProofUses, induction on the number of generators]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalProofUses
Context triple: [Noether normalization lemma, typicalProofUses, induction on the number of generators]
  • A. usedEvidenceType
    Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
  • B. requiresProofOf
    Indicates that one entity must provide formal evidence or documentation to validate or authorize another entity.
  • C. standardOfProof
    Indicates the level or degree of certainty required to establish that a claim or allegation is true in a given context.
  • D. typicalConclusion
    Indicates that one entity is the usual or expected outcome, result, or ending that follows from another entity or situation.
  • E. typicalIn
    Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3361bf08190b3f6bbf82e17685b completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c0335f7081908d50046ced4cdee0 completed March 1, 2026, 10:39 p.m.
Created at: March 1, 2026, 7:59 p.m.