Triple

T24957240
Position Surface form Disambiguated ID Type / Status
Subject Fano inequality E624508 entity
Predicate expressesRelationBetween P8534 FINISHED
Object conditional entropy H(X|Y) 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: conditional entropy H(X|Y) | Statement: [Fano inequality, expressesRelationBetween, conditional entropy H(X|Y)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: expressesRelationBetween
Context triple: [Fano inequality, expressesRelationBetween, conditional entropy H(X|Y)]
  • A. formalizesRelationBetween
    Indicates a relationship in which one entity defines, codifies, or gives formal structure to the relationship that exists between two or more other entities.
  • B. representsInRelationsWith
    Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
  • C. valueRelation
    Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
  • D. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to another entity.
  • E. definesRelationshipBetween chosen
    Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
  • 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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69f44d77f6e88190a4643ab2cbef567b completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 5:58 a.m.