Triple

T23281163
Position Surface form Disambiguated ID Type / Status
Subject Curry–Howard correspondence E588866 entity
Predicate formalizesRelationBetween P151657 FINISHED
Object constructive proofs 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: constructive proofs | Statement: [Curry–Howard correspondence, formalizesRelationBetween, constructive proofs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formalizesRelationBetween
Context triple: [Curry–Howard correspondence, formalizesRelationBetween, constructive proofs]
  • A. definesRelationshipBetween
    Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
  • B. definesRelationshipAs
    Indicates that one entity explicitly specifies or establishes the type or nature of the relationship that holds between two or more entities.
  • C. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to another entity.
  • D. symbolicRelation
    Indicates a relationship where one entity stands for, represents, or conveys meaning about another through symbols or abstract signs.
  • E. representsInRelationsWith
    Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19642b46481909fd455acd2155792 completed April 29, 2026, 5:25 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d8770d081908897c28b04e5faea completed April 28, 2026, 2:37 a.m.
Created at: April 17, 2026, 4:57 p.m.