Triple

T10992335
Position Surface form Disambiguated ID Type / Status
Subject Dirichlet conditions E259780 entity
Predicate appliesToRepresentation P103 FINISHED
Object trigonometric Fourier series 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: trigonometric Fourier series | Statement: [Dirichlet conditions, appliesToRepresentation, trigonometric Fourier series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToRepresentation
Context triple: [Dirichlet conditions, appliesToRepresentation, trigonometric Fourier series]
  • A. appliesTo
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • B. hasRepresentationIn chosen
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • C. appliesToFeature
    Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
  • D. appliesToComponent
    Indicates that a rule, condition, or operation is specifically relevant or applicable to a particular component.
  • E. appliesToInteraction
    Indicates that something (such as a rule, condition, or property) is relevant to or governs a specific interaction between entities.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d32f9081909def643571499521 completed April 9, 2026, 12:04 p.m.
PD Predicate disambiguation batch_69d72e93ac648190b46c5d12bf3eb1e9 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:24 p.m.