Triple

T15502743
Position Surface form Disambiguated ID Type / Status
Subject Limit Laws for Sums of Independent Random Variables E379000 entity
Predicate assumesKnowledgeOf P33840 FINISHED
Object measure-theoretic probability 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: measure-theoretic probability | Statement: [Limit Laws for Sums of Independent Random Variables, assumesKnowledgeOf, measure-theoretic probability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assumesKnowledgeOf
Context triple: [Limit Laws for Sums of Independent Random Variables, assumesKnowledgeOf, measure-theoretic probability]
  • A. usesKnowledgeOf chosen
    Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
  • B. knows
    Indicates that one entity has knowledge or awareness of another entity or piece of information.
  • C. assumes
    Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
  • D. isAssumedIn
    Indicates that something is taken for granted or presumed to hold within a particular context, without requiring explicit proof or verification.
  • E. assumesAccessTo
    Indicates that one entity presupposes or takes for granted that it has access to another entity, resource, or piece of information.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcc5bb88190b8a9a81419a9a38b completed April 16, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:54 a.m.