Triple

T9843766
Position Surface form Disambiguated ID Type / Status
Subject Cauchy problem E239288 entity
Predicate wellPosednessCriteria P38914 FINISHED
Object existence of solution 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: existence of solution | Statement: [Cauchy problem, wellPosednessCriteria, existence of solution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wellPosednessCriteria
Context triple: [Cauchy problem, wellPosednessCriteria, existence of solution]
  • A. wellPosedness chosen
    Indicates that a problem or system satisfies the conditions (such as existence, uniqueness, and stability of solutions) required to be considered mathematically well-posed.
  • B. isExactlySolvable
    Indicates that a problem, model, or equation can be solved completely and exactly (without approximation) using known analytical or algorithmic methods.
  • C. constructibilityCriterion
    Indicates the condition or set of conditions under which something can be validly or feasibly constructed within a given system or framework.
  • D. canBeSolvable
    Indicates that a problem, situation, or condition has the potential to be resolved or successfully solved under some circumstances.
  • E. mathematicallyFormulatedIn
    Indicates that something is expressed, defined, or represented using mathematical formulas, equations, or formal mathematical structures within a given context.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb35c8e348190aa090c71bf6f30eb completed April 2, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:33 p.m.