Triple

T22011327
Position Surface form Disambiguated ID Type / Status
Subject Cremonese school of violin making E543579 entity
Predicate followsDesignModel P120449 FINISHED
Object Amati model 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: Amati model | Statement: [Cremonese school of violin making, followsDesignModel, Amati model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsDesignModel
Context triple: [Cremonese school of violin making, followsDesignModel, Amati model]
  • A. designModel
    Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
  • B. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • C. followsStructure
    Indicates that one entity adheres to, conforms with, or is organized according to the structural pattern defined by another entity.
  • D. associatedWithDesign
    Indicates that there is a connection or involvement between an entity and a particular design, design process, or design-related activity.
  • E. basedOnDesignBy chosen
    Indicates that something is created, developed, or structured according to the design conceived or produced by a specified entity.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
PD Predicate disambiguation batch_69e6f62dc9d88190ae387f145f9528de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:22 p.m.