Triple

T17341081
Position Surface form Disambiguated ID Type / Status
Subject Banach limit E421066 entity
Predicate nonUniquenessProperty P116230 FINISHED
Object there exist many distinct Banach limits 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: there exist many distinct Banach limits | Statement: [Banach limit, nonUniquenessProperty, there exist many distinct Banach limits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonUniquenessProperty
Context triple: [Banach limit, nonUniquenessProperty, there exist many distinct Banach limits]
  • A. typeOfUniqueness
    Indicates that one entity’s uniqueness is characterized, classified, or constrained by the specific kind or mode of uniqueness associated with another entity.
  • B. uniquenessCondition
    Indicates that a specified element, value, or combination of attributes must be unique within a given set, context, or domain, with no duplicates allowed.
  • C. isNonUniqueGlobally chosen
    Indicates that the referenced item is not guaranteed to be unique across the entire global scope or system.
  • D. hasUniqueness
    Indicates that something possesses a distinctive or one-of-a-kind quality that sets it apart from others.
  • E. nonExclusive
    Indicates that the relationship or access is shared among multiple parties and is not limited to a single, exclusive holder.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69e3b021a5bc81909ae55406f9d0b37f completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:44 a.m.