Triple

T5338241
Position Surface form Disambiguated ID Type / Status
Subject Hardy–Ramanujan asymptotic formula E123877 entity
Predicate givesLeadingTerm P63069 FINISHED
Object \frac{1}{4n\sqrt{3}} e^{\pi \sqrt{2n/3}} 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: \frac{1}{4n\sqrt{3}} e^{\pi \sqrt{2n/3}} | Statement: [Hardy–Ramanujan asymptotic formula, givesLeadingTerm, \frac{1}{4n\sqrt{3}} e^{\pi \sqrt{2n/3}}]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesLeadingTerm
Context triple: [Hardy–Ramanujan asymptotic formula, givesLeadingTerm, \frac{1}{4n\sqrt{3}} e^{\pi \sqrt{2n/3}}]
  • A. firstCoefficientProperty
    Indicates a property or characteristic specifically associated with the first coefficient in a mathematical or algebraic expression.
  • B. errorTermOrder
    Indicates the ordering or sequence in which error terms are arranged or considered relative to one another.
  • C. hasFirstTerm
    Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
  • D. hasDerivativeTerm
    Indicates that one term is derived or obtained from another term, typically through a transformation, calculation, or logical inference.
  • E. firstTerms
    Indicates that the related entities are the initial elements or starting terms in a sequence, series, or ordered collection.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85e86edc81908d87933db6489f91 completed March 20, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69bd845a62b081909782863865b257a9 completed March 20, 2026, 5:31 p.m.
PDg Predicate description generation batch_69bd85e69e808190b29548670fd2900a completed March 20, 2026, 5:37 p.m.
Created at: March 20, 2026, 2 p.m.