Triple

T36469089
Position Surface form Disambiguated ID Type / Status
Subject Koebe function E898494 entity
Predicate hasTaylorCoefficient P93936 FINISHED
Object a_n = n for n \ge 1 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: a_n = n for n \ge 1 | Statement: [Koebe function, hasTaylorCoefficient, a_n = n for n \ge 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTaylorCoefficient
Context triple: [Koebe function, hasTaylorCoefficient, a_n = n for n \ge 1]
  • A. hasSeriesExpansion
    Indicates that a mathematical function or expression is associated with a specific series representation (such as a Taylor or power series) that expands it around a point or region.
  • B. hasAsymptoticExpansion
    Indicates that one mathematical object serves as the asymptotic expansion approximating another object in a specified limit or regime.
  • C. hasAsymptotics
    Indicates that one entity describes or determines the asymptotic behavior or growth rate of another entity, typically in a limiting or large-scale sense.
  • D. coefficientsIn chosen
    Indicates that one entity appears as a coefficient within the mathematical expression or representation of another entity.
  • E. hasHigherOrderTerm
    Indicates that one entity includes or is associated with a term of higher order (e.g., higher degree, derivative, or complexity) relative to another entity or baseline.
  • 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:10 p.m.