Triple

T7743597
Position Surface form Disambiguated ID Type / Status
Subject Navier–Stokes existence and smoothness problem E175568 entity
Predicate relatedEquationProperty P78450 FINISHED
Object nonlinearity of the convective term 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: nonlinearity of the convective term | Statement: [Navier–Stokes existence and smoothness problem, relatedEquationProperty, nonlinearity of the convective term]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedEquationProperty
Context triple: [Navier–Stokes existence and smoothness problem, relatedEquationProperty, nonlinearity of the convective term]
  • A. relatedByFormula
    Indicates that one entity is mathematically or logically derived from, or connected to, another according to a specific formula.
  • B. relatedTheorem
    Indicates that one theorem is connected to another through a logical, thematic, or derivational relationship.
  • C. relatedField
    Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
  • D. relatedConstant
    Indicates that one entity is a fixed, unchanging value or constant that is associated with or linked to another entity.
  • E. valueRelation
    Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70402169481909b219dc5f4a64b9b completed March 27, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69c7016c4a748190a7012030edaefcee completed March 27, 2026, 10:15 p.m.
PDg Predicate description generation batch_69c7040091608190a9e46ecfb2ff0bca completed March 27, 2026, 10:26 p.m.
Created at: March 27, 2026, 4:07 p.m.