Triple

T26425228
Position Surface form Disambiguated ID Type / Status
Subject Prints and Drawings Department E664351 entity
Predicate focusesOnTechnique P31 FINISHED
Object printmaking 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: printmaking | Statement: [Prints and Drawings Department, focusesOnTechnique, printmaking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnTechnique
Context triple: [Prints and Drawings Department, focusesOnTechnique, printmaking]
  • A. demonstratedTechniqueFocus
    Indicates that an entity has shown or highlighted a particular technique as the main focus of its demonstration.
  • B. hasTechnique
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • C. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • D. usedByTechnique
    Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
  • E. techniqueRequired
    Indicates that performing one entity (such as an action, process, or task) necessitates the use of a specific technique associated with the other 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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f69383222c81909d8baa04129d5c81 completed May 3, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69f690eb1e948190aab41a89969519a5 completed May 3, 2026, 12:03 a.m.
Created at: April 26, 2026, 11:45 p.m.