Triple

T25432558
Position Surface form Disambiguated ID Type / Status
Subject Liouville function E637296 entity
Predicate parityInterpretation P158497 FINISHED
Object λ(n) = -1 if n has an odd total number of prime factors counted with multiplicity 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: λ(n) = -1 if n has an odd total number of prime factors counted with multiplicity | Statement: [Liouville function, parityInterpretation, λ(n) = -1 if n has an odd total number of prime factors counted with multiplicity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parityInterpretation
Context triple: [Liouville function, parityInterpretation, λ(n) = -1 if n has an odd total number of prime factors counted with multiplicity]
  • A. parityInterpretation chosen
    Indicates that one entity is interpreted or classified in terms of its parity (e.g., as even or odd) relative to another entity or a given parity scheme.
  • B. parity
    Indicates that two quantities share the same evenness or oddness, or more generally that they have equivalent status or value in a given context.
  • C. parityWith
    Indicates that two entities share the same parity, such as both being even or both being odd.
  • D. disputedInterpretation
    Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
  • E. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • 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_69e75db58a1c8190891b9ff7c2f8414e completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6dc7d088190b1e4c191172ea256 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f4806d93dc8190b9dff4c63186faff completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 1:58 p.m.