Triple

T10055754
Position Surface form Disambiguated ID Type / Status
Subject Gröbner basis E208856 entity
Predicate generalizationOf P2372 FINISHED
Object Smith normal form
Smith normal form is a canonical diagonal matrix form over the integers that classifies finitely generated abelian groups and simplifies solving systems of linear Diophantine equations.
E838595 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: Smith normal form | Statement: [Gröbner basis, generalizationOf, Smith normal form]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smith normal form
Context triple: [Gröbner basis, generalizationOf, Smith normal form]
  • A. Hermite normal form
    Hermite normal form is a canonical matrix form used in linear algebra and number theory to uniquely represent integer matrices and solve systems of linear Diophantine equations.
  • B. Jordan normal form theorem
    The Jordan normal form theorem is a fundamental result in linear algebra that states every square matrix over an algebraically closed field is similar to a block diagonal matrix composed of Jordan blocks, providing a canonical form for linear operators.
  • C. Sylvester matrix
    The Sylvester matrix is a structured matrix constructed from the coefficients of two polynomials, commonly used to compute their resultant and study common roots in algebra.
  • D. Cayley–Hamilton theorem
    The Cayley–Hamilton theorem is a fundamental result in linear algebra stating that every square matrix satisfies its own characteristic polynomial.
  • E. Bartels–Stewart algorithm
    The Bartels–Stewart algorithm is a numerical linear algebra method that efficiently solves certain matrix equations, particularly Sylvester and Lyapunov equations, using Schur decompositions.
  • 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: Smith normal form
Triple: [Gröbner basis, generalizationOf, Smith normal form]
Generated description
Smith normal form is a canonical diagonal matrix form over the integers that classifies finitely generated abelian groups and simplifies solving systems of linear Diophantine equations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Smith normal form
Target entity description: Smith normal form is a canonical diagonal matrix form over the integers that classifies finitely generated abelian groups and simplifies solving systems of linear Diophantine equations.
  • A. Hermite normal form
    Hermite normal form is a canonical matrix form used in linear algebra and number theory to uniquely represent integer matrices and solve systems of linear Diophantine equations.
  • B. Jordan normal form theorem
    The Jordan normal form theorem is a fundamental result in linear algebra that states every square matrix over an algebraically closed field is similar to a block diagonal matrix composed of Jordan blocks, providing a canonical form for linear operators.
  • C. Sylvester matrix
    The Sylvester matrix is a structured matrix constructed from the coefficients of two polynomials, commonly used to compute their resultant and study common roots in algebra.
  • D. Cayley–Hamilton theorem
    The Cayley–Hamilton theorem is a fundamental result in linear algebra stating that every square matrix satisfies its own characteristic polynomial.
  • E. Bartels–Stewart algorithm
    The Bartels–Stewart algorithm is a numerical linear algebra method that efficiently solves certain matrix equations, particularly Sylvester and Lyapunov equations, using Schur decompositions.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfacacd08190abe66f8bb17b92c7 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a49cb208190b56d991a523efbac completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:57 p.m.