Triple

T15867638
Position Surface form Disambiguated ID Type / Status
Subject Necessary Existent E384752 entity
Predicate isIdenticalWith P7398 FINISHED
Object existence itself in Avicenna's system 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: existence itself in Avicenna's system | Statement: [Necessary Existent, isIdenticalWith, existence itself in Avicenna's system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isIdenticalWith
Context triple: [Necessary Existent, isIdenticalWith, existence itself in Avicenna's system]
  • A. isIsomorphicTo
    Indicates that two structures have a one-to-one, structure-preserving correspondence between their elements, making them equivalent in form even if not identical in content.
  • B. hasEquivalent chosen
    Indicates that two entities are considered equal in value, meaning, or function within a given context.
  • C. isSameSymbolAs
    Indicates that two entities represent the identical symbol or sign, regardless of their specific instances or contexts.
  • D. sameMatchAs
    Indicates that two entities are considered equivalent or represent the same underlying match or correspondence in a given context.
  • E. isDistinctFrom
    Indicates that two entities are not identical and can be clearly distinguished from one another.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.