Triple

T14637270
Position Surface form Disambiguated ID Type / Status
Subject Renato Caccioppoli E343638 entity
Predicate hasNotableConcept P531 FINISHED
Object Caccioppoli inequality E1109989 NE 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: Caccioppoli inequality | Statement: [Renato Caccioppoli, hasNotableConcept, Caccioppoli inequality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caccioppoli inequality
Context triple: [Renato Caccioppoli, hasNotableConcept, Caccioppoli inequality]
  • A. Caccioppoli inequality chosen
    The Caccioppoli inequality is a fundamental estimate in the theory of partial differential equations that bounds the energy (gradient) of a solution in a smaller region by its values in a larger surrounding region, playing a key role in regularity theory.
  • B. Poincaré inequality
    The Poincaré inequality is a fundamental result in functional analysis and partial differential equations that bounds the average oscillation of a function by the size of its gradient, playing a key role in Sobolev space theory and the study of elliptic problems.
  • C. Sobolev inequality
    The Sobolev inequality is a fundamental result in functional analysis and partial differential equations that bounds the size of a function in certain Lebesgue spaces by the size of its derivatives, enabling key embedding and regularity properties.
  • D. John–Nirenberg inequality
    The John–Nirenberg inequality is a fundamental result in harmonic analysis that characterizes functions of bounded mean oscillation (BMO) by showing their oscillations have exponentially decaying distribution.
  • E. Korn inequality
    Korn inequality is a fundamental result in functional analysis and the mathematical theory of elasticity that provides bounds relating the full gradient of a vector field to its symmetric part, ensuring control of deformations by their strains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d2059081908150b6534aebb32f completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.