Triple

T5570632
Position Surface form Disambiguated ID Type / Status
Subject Fermat's theorem on sums of two squares E146190 entity
Predicate usesProperty P46693 FINISHED
Object primes p ≡ 1 (mod 4) split in Z[i] 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: primes p ≡ 1 (mod 4) split in Z[i] | Statement: [Fermat's theorem on sums of two squares, usesProperty, primes p ≡ 1 (mod 4) split in Z[i]]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesProperty
Context triple: [Fermat's theorem on sums of two squares, usesProperty, primes p ≡ 1 (mod 4) split in Z[i]]
  • A. usesProp chosen
    Indicates that one entity employs, utilizes, or makes use of a particular property, resource, or object in performing an action or fulfilling a function.
  • B. haveProperty
    Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
  • C. requiresProperty
    Indicates that one entity depends on another entity possessing a specific property or attribute in order for a condition, action, or relationship to hold.
  • D. usesAttribute
    Indicates that one entity employs, relies on, or makes use of a specific attribute of another entity in performing an action or defining a relationship.
  • E. propUsed
    Indicates that a particular property or attribute is utilized or applied in a given context or situation.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020502a288190af37f9ebb88fccae completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b12826c8190969a584d0f53aa44 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:37 p.m.