Triple

T33761184
Position Surface form Disambiguated ID Type / Status
Subject Macdonald polynomials E865108 entity
Predicate parameterSpecialization P177832 FINISHED
Object Schur polynomials at q = t 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: Schur polynomials at q = t | Statement: [Macdonald polynomials, parameterSpecialization, Schur polynomials at q = t]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parameterSpecialization
Context triple: [Macdonald polynomials, parameterSpecialization, Schur polynomials at q = t]
  • A. exportSpecialization
    Indicates a relationship where one entity specializes in exporting particular goods, services, or resources to another entity or market.
  • B. propertyTypeSpecialization
    Indicates that one property type is a more specific or specialized version of another, more general property type.
  • C. specialCaseParameter
    Indicates that a parameter is used only in specific or exceptional cases, differing from the standard or default behavior.
  • D. branchSpecialization
    Indicates that one branch or subdivision is specialized or focused in a particular area, function, or domain relative to others.
  • E. laterSpecialization
    Indicates that one entity becomes a more specialized or refined version of another entity at a later point in time.
  • F. None of above. chosen

Provenance (4 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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
PDg Predicate description generation batch_69f70519f114819080659840c04d7911 completed May 3, 2026, 8:19 a.m.
Created at: May 1, 2026, 1:45 a.m.