Triple

T28656737
Position Surface form Disambiguated ID Type / Status
Subject Minuscule 565 E725353 entity
Predicate crossReferenceSystem P111150 FINISHED
Object Eusebian Canons NE NERFINISHED

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: Eusebian Canons | Statement: [Minuscule 565, crossReferenceSystem, Eusebian Canons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossReferenceSystem
Context triple: [Minuscule 565, crossReferenceSystem, Eusebian Canons]
  • A. crossReference chosen
    Indicates that one entity refers the user to another related entity or source for additional or supporting information.
  • B. centralCrossRepresents
    Indicates that a central cross symbol stands for or signifies a particular concept, object, or meaning within a given context.
  • C. crossStructure
    Indicates that one entity passes over, through, or across the physical span or boundary defined by another structure.
  • D. crossReconstruction
    Indicates a relationship where one entity is reconstructed, inferred, or regenerated based on information, structure, or features derived from another, distinct entity.
  • E. crossType
    Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
  • 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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6bbf6e33c819086e5176d64e7a614 completed May 3, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69f6ba6b1e6c8190adf9d6a257e0b744 completed May 3, 2026, 3 a.m.
Created at: April 28, 2026, 4:55 a.m.