Triple

T32258671
Position Surface form Disambiguated ID Type / Status
Subject BEST theorem E824089 entity
Predicate formulaInvolves P173895 FINISHED
Object number of spanning in-arborescences rooted at a vertex 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: number of spanning in-arborescences rooted at a vertex | Statement: [BEST theorem, formulaInvolves, number of spanning in-arborescences rooted at a vertex]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formulaInvolves
Context triple: [BEST theorem, formulaInvolves, number of spanning in-arborescences rooted at a vertex]
  • A. formulaUsed
    Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
  • B. mathematicallyExpressedBy
    Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
  • C. formulaType
    Indicates the specific kind or category of formula associated with an entity or expression.
  • D. isFormulatedUsing
    Indicates that something is created, defined, or expressed by means of a specified method, material, or set of components.
  • E. keyFormula
    Indicates that a formula serves as the primary or defining expression associated with an entity or relationship.
  • 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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc5652e08190b519631b7d497e75 completed May 3, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
PDg Predicate description generation batch_69f6b960ca4081909a77690c2b122f5e completed May 3, 2026, 2:56 a.m.
Created at: May 1, 2026, 12:41 a.m.