Triple

T27675450
Position Surface form Disambiguated ID Type / Status
Subject Jacobi manifold E697764 entity
Predicate canBeDescribedBy P175330 FINISHED
Object pair (Λ,E) where Λ is a bivector field and E is a vector field 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: pair (Λ,E) where Λ is a bivector field and E is a vector field | Statement: [Jacobi manifold, canBeDescribedBy, pair (Λ,E) where Λ is a bivector field and E is a vector field]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeDescribedBy
Context triple: [Jacobi manifold, canBeDescribedBy, pair (Λ,E) where Λ is a bivector field and E is a vector field]
  • A. hasDescription
    Indicates that an entity is associated with a textual description that explains or characterizes it.
  • B. describedIn
    Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
  • C. describedThrough chosen
    Indicates that something is explained, represented, or conveyed by means of a particular medium, method, or description.
  • D. isDescriptive
    Indicates that one entity provides a description or characterization of another entity.
  • E. describedFrom
    Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
  • 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_69ef590d458c81909583290c3cd0478b completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: April 27, 2026, 2:43 p.m.