Triple

T28397739
Position Surface form Disambiguated ID Type / Status
Subject the One (Plotinus) E719324 entity
Predicate relationToKnowledge P20534 FINISHED
Object can be approached only by negation (via negativa) 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: can be approached only by negation (via negativa) | Statement: [the One (Plotinus), relationToKnowledge, can be approached only by negation (via negativa)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationToKnowledge
Context triple: [the One (Plotinus), relationToKnowledge, can be approached only by negation (via negativa)]
  • A. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to another entity.
  • B. knowledgeRepresentation
    Indicates how information, concepts, or facts are encoded, structured, and organized so they can be interpreted and used by an agent or system.
  • C. coversRelationship
    Indicates that one entity extends over, includes, or provides encompassing coverage for another entity or set of entities.
  • D. termRelationTo
    Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
  • E. positionOnKnowledge chosen
    Indicates the stance, viewpoint, or level of agreement an entity holds regarding a particular piece or body of knowledge.
  • 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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fffc783b648190bcd7df017514d206 completed May 10, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69fffc03fa24819099e12413dc6e0afd completed May 10, 2026, 3:31 a.m.
Created at: April 28, 2026, 1:18 a.m.