Triple

T8143369
Position Surface form Disambiguated ID Type / Status
Subject Divided Line E190148 entity
Predicate ontologicalLevelForDianoia P76737 FINISHED
Object mathematical entities 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: mathematical entities | Statement: [Divided Line, ontologicalLevelForDianoia, mathematical entities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ontologicalLevelForDianoia
Context triple: [Divided Line, ontologicalLevelForDianoia, mathematical entities]
  • A. ontologicalAspect
    Indicates a fundamental mode or category of being that characterizes how something exists or is realized.
  • B. positionOnMetaphysics
    Indicates a relationship where an entity’s stance, view, or theoretical commitment regarding metaphysical questions or issues is specified.
  • C. ontologicalStatusInDoctrine chosen
    Indicates how an entity’s fundamental nature or mode of existence is defined or classified within a particular doctrine or system of thought.
  • D. philosophicalStatus
    Indicates the philosophical position, stance, or classification attributed to an entity within a given conceptual or theoretical framework.
  • E. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4444bb248190beaaa2ce4b8f3eaa completed March 31, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69cb369c0d0481908762c488d7f77e74 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:36 p.m.