Triple

T6293518
Position Surface form Disambiguated ID Type / Status
Subject Ars Conjectandi E141075 entity
Predicate focusOfPartII P35814 FINISHED
Object classical probability theory 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: classical probability theory | Statement: [Ars Conjectandi, focusOfPartII, classical probability theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusOfPartII
Context triple: [Ars Conjectandi, focusOfPartII, classical probability theory]
  • A. secondPartFocus chosen
    Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
  • B. secondEditionFocus
    Indicates that the relationship or content specifically pertains to the second edition version or focus of something, as opposed to other editions.
  • C. secondPartSubject
    Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
  • D. secondPartTitle
    Indicates that one entity is the second part of the title of another entity.
  • E. partCFocus
    Indicates that a specific part or component of an entity is the primary focus or point of attention in a given context.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0642017588190b6c99c685653f6c2 completed March 22, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69c060df0d8881908215575862ef6831 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:27 p.m.