Triple

T20627186
Position Surface form Disambiguated ID Type / Status
Subject Krein–Milman theorem E506849 entity
Predicate relatedTo P37 FINISHED
Object Bauer maximum principle
The Bauer maximum principle is a result in functional analysis stating that a continuous convex function on a compact convex set attains its maximum at an extreme point of the set.
E1440910 NE FINISHED

How this triple was built (4 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: Bauer maximum principle | Statement: [Krein–Milman theorem, relatedTo, Bauer maximum principle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauer maximum principle
Context triple: [Krein–Milman theorem, relatedTo, Bauer maximum principle]
  • A. Hamilton’s maximum principle
    Hamilton’s maximum principle is a fundamental analytical tool in geometric analysis that extends the classical maximum principle to tensor-valued quantities, playing a key role in studying the behavior of solutions to the Ricci flow and related geometric evolution equations.
  • B. Pontryagin maximum principle
    The Pontryagin maximum principle is a fundamental result in optimal control theory that provides necessary conditions for an optimal control process by characterizing optimal trajectories via a Hamiltonian maximization condition.
  • C. Busemann–Feller theorem
    The Busemann–Feller theorem is a result in geometric measure theory that characterizes when a metric space is geodesic by relating distance properties to the existence of shortest paths between points.
  • D. Noether boundary value problems
    Noether boundary value problems are a class of boundary value problems in the theory of partial differential equations characterized by conditions ensuring well-posedness and finite-dimensional solution spaces, developed by mathematician Fritz Noether.
  • E. LaSalle’s invariance principle
    LaSalle’s invariance principle is a fundamental result in dynamical systems theory that extends Lyapunov’s direct method by characterizing the asymptotic behavior of trajectories through invariant sets where a Lyapunov function’s derivative vanishes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bauer maximum principle
Triple: [Krein–Milman theorem, relatedTo, Bauer maximum principle]
Generated description
The Bauer maximum principle is a result in functional analysis stating that a continuous convex function on a compact convex set attains its maximum at an extreme point of the set.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bauer maximum principle
Target entity description: The Bauer maximum principle is a result in functional analysis stating that a continuous convex function on a compact convex set attains its maximum at an extreme point of the set.
  • A. Hamilton’s maximum principle
    Hamilton’s maximum principle is a fundamental analytical tool in geometric analysis that extends the classical maximum principle to tensor-valued quantities, playing a key role in studying the behavior of solutions to the Ricci flow and related geometric evolution equations.
  • B. Pontryagin maximum principle
    The Pontryagin maximum principle is a fundamental result in optimal control theory that provides necessary conditions for an optimal control process by characterizing optimal trajectories via a Hamiltonian maximization condition.
  • C. Busemann–Feller theorem
    The Busemann–Feller theorem is a result in geometric measure theory that characterizes when a metric space is geodesic by relating distance properties to the existence of shortest paths between points.
  • D. Noether boundary value problems
    Noether boundary value problems are a class of boundary value problems in the theory of partial differential equations characterized by conditions ensuring well-posedness and finite-dimensional solution spaces, developed by mathematician Fritz Noether.
  • E. LaSalle’s invariance principle
    LaSalle’s invariance principle is a fundamental result in dynamical systems theory that extends Lyapunov’s direct method by characterizing the asymptotic behavior of trajectories through invariant sets where a Lyapunov function’s derivative vanishes.
  • F. None of above. chosen

Provenance (5 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe576c081909231dc0d7304b9a9 completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1d9fc881909afe38600d8556b1 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbb64c40819080b2ea24d1f774ff completed May 16, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc4ea25881909fa71fe2f1b6ddb4 completed May 16, 2026, 6:49 p.m.
Created at: April 16, 2026, 11:42 a.m.