Triple

T1382507
Position Surface form Disambiguated ID Type / Status
Subject Gaussian integers E29369 entity
Predicate primeFactorization P27191 FINISHED
Object every nonzero nonunit factors uniquely up to units and order 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: every nonzero nonunit factors uniquely up to units and order | Statement: [Gaussian integers, primeFactorization, every nonzero nonunit factors uniquely up to units and order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primeFactorization
Context triple: [Gaussian integers, primeFactorization, every nonzero nonunit factors uniquely up to units and order]
  • A. bitLengthFactorization
    Indicates a relationship where the bit-length of a number is determined or constrained by the factorization of that number.
  • B. number
    Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
  • C. expandsPowersOf
    Indicates that one entity increases, extends, or enhances the authority, capabilities, or influence held by another entity.
  • D. division
    Indicates a relationship where one entity is separated or partitioned into parts, groups, or sections based on some criterion or operation.
  • E. recitesFormula
    Indicates that one entity verbally or mentally repeats a specific formula, such as a set phrase, equation, or ritual wording, typically from memory.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3361bf08190b3f6bbf82e17685b completed March 1, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69a4befe343c81909f758440a531b5be completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c0335f7081908d50046ced4cdee0 completed March 1, 2026, 10:39 p.m.
Created at: March 1, 2026, 7:59 p.m.