Triple

T1427937
Position Surface form Disambiguated ID Type / Status
Subject Gauss map E30376 entity
Predicate theorem P21917 FINISHED
Object area of image under Gauss map relates to total curvature 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: area of image under Gauss map relates to total curvature | Statement: [Gauss map, theorem, area of image under Gauss map relates to total curvature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theorem
Context triple: [Gauss map, theorem, area of image under Gauss map relates to total curvature]
  • A. theorized
    Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
  • B. proved chosen
    Indicates that one entity has demonstrated the truth or validity of another entity (such as a statement, theorem, or claim) through logical or evidential means.
  • C. statement
    Indicates that an entity makes, issues, or expresses a declarative assertion, claim, or remark about something.
  • D. subtheory
    Indicates that one theory is a component, specialization, or restricted part of another, more general theory.
  • E. theme
    Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c52e4ed881908d85e0cb9fe851ac completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c4752abc8190a33b634c4d6fad28 completed March 1, 2026, 10:57 p.m.
Created at: March 1, 2026, 8 p.m.