Triple

T15137011
Position Surface form Disambiguated ID Type / Status
Subject naive set theory E361579 entity
Predicate formalismIncludes P91857 FINISHED
Object membership relation 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: membership relation | Statement: [naive set theory, formalismIncludes, membership relation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formalismIncludes
Context triple: [naive set theory, formalismIncludes, membership relation]
  • A. formalismFor
    Indicates that one entity serves as a formal representation, framework, or notation specifically designed to model, describe, or reason about another entity.
  • B. formalismType
    Indicates the specific formal system or representational framework in which something (such as a theory, model, or specification) is expressed.
  • C. formalizedUnder
    Indicates that something has been officially established, defined, or codified within the framework, authority, or provisions of a particular formal system, agreement, or institution.
  • D. formalization
    Indicates that an informal concept, process, or agreement is being expressed, structured, or codified in a formal, explicit, and often standardized way.
  • E. formalizationUses chosen
    Indicates that one formalization or formal system makes use of, depends on, or incorporates another resource, method, or framework in its construction or application.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b59b488190b0016970647e7483 completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.