Triple

T23587220
Position Surface form Disambiguated ID Type / Status
Subject Bernoulli differential equation E582378 entity
Predicate prerequisiteKnowledge P152809 FINISHED
Object calculus 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: calculus | Statement: [Bernoulli differential equation, prerequisiteKnowledge, calculus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prerequisiteKnowledge
Context triple: [Bernoulli differential equation, prerequisiteKnowledge, calculus]
  • A. commonPrerequisiteField
    Indicates that two or more items share the same required prerequisite field that must be satisfied before they can proceed or be accessed.
  • B. knowledgeStatusAtStart
    Indicates the state or level of knowledge an entity possesses at the beginning of a specified process, event, or time period.
  • C. requiresPractice
    Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
  • D. preparationRequirement
    Indicates that one entity must be prepared, configured, or made ready as a necessary condition before another entity, action, or process can occur or be valid.
  • E. usesKnowledgeOf
    Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
  • 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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b03195748190b7e34f334902ac93 completed April 29, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f121cc494081908c987adfcde89b0e completed April 28, 2026, 9:08 p.m.
Created at: April 17, 2026, 6:41 p.m.