Triple

T25920206
Position Surface form Disambiguated ID Type / Status
Subject shape operator E653147 entity
Predicate smoothnessRequirement P90303 FINISHED
Object defined for sufficiently smooth (at least C^2) hypersurfaces 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: defined for sufficiently smooth (at least C^2) hypersurfaces | Statement: [shape operator, smoothnessRequirement, defined for sufficiently smooth (at least C^2) hypersurfaces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: smoothnessRequirement
Context triple: [shape operator, smoothnessRequirement, defined for sufficiently smooth (at least C^2) hypersurfaces]
  • A. smoothness
    Indicates the degree to which a surface or transition is even, continuous, and free from roughness or abrupt changes.
  • B. isSmoothIf
    Indicates that one entity or condition is smooth provided that another specified condition or requirement holds.
  • C. surfaceQuality
    Indicates the condition or characteristics of an entity’s outer surface, such as its smoothness, roughness, or finish.
  • D. continuityCondition
    Indicates that a relationship or process maintains consistency or unbroken progression across a boundary, interval, or sequence.
  • E. regularityAssumption chosen
    Indicates that a relationship or process is assumed to behave in a consistent, well-behaved manner (e.g., continuity, smoothness, or stability) so that certain analyses or inferences are valid.
  • 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_69e7ab3e025c819086771607157f0015 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603e894f8819087e42e19a711151a completed May 2, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69f4a10480748190a2e67bd399fc435d completed May 1, 2026, 12:48 p.m.
Created at: April 22, 2026, 8:32 a.m.