Triple

T15136985
Position Surface form Disambiguated ID Type / Status
Subject naive set theory E361579 entity
Predicate treatsAsSet P117463 FINISHED
Object any definable collection 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: any definable collection | Statement: [naive set theory, treatsAsSet, any definable collection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatsAsSet
Context triple: [naive set theory, treatsAsSet, any definable collection]
  • A. typeOfSets
    Indicates that one entity specifies or classifies the kind or category of sets to which another entity belongs.
  • B. sets
    Indicates that an entity places, positions, or puts another entity into a particular state, location, or configuration.
  • C. hasDistinctSetFor
    Indicates that one entity is associated with a separate, non-overlapping collection of items or elements specifically designated for another entity.
  • D. canonicalSetIncludes
    Indicates that a canonical or standard set contains the referenced element as one of its members.
  • E. set
    Indicates that an entity places, positions, or establishes another entity into a particular state, configuration, or location.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b3f6f48190b1ed7c7b28feb7a6 completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
PDg Predicate description generation batch_69dec71e8dcc81908badc834b6ccf273 completed April 14, 2026, 11 p.m.
Created at: April 10, 2026, 3:07 a.m.