Triple

T33354562
Position Surface form Disambiguated ID Type / Status
Subject Bartsch 1 E854033 entity
Predicate appliesToTechnique P38700 FINISHED
Object engraving on copper 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: engraving on copper | Statement: [Bartsch 1, appliesToTechnique, engraving on copper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToTechnique
Context triple: [Bartsch 1, appliesToTechnique, engraving on copper]
  • A. usedByTechnique chosen
    Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
  • B. hasTechnique
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • C. appliesToTechnology
    Indicates that something (such as a rule, method, or concept) is relevant to, affects, or is intended for use with a particular technology.
  • D. allowedTechnique
    Indicates that a particular technique or method is permitted or acceptable to use in a given context or under specified rules.
  • E. appliesToFeature
    Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
  • 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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff0491409c8190be40f633a58da0b1 completed May 9, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69ff040bb5cc81909534c7eee85d5e90 completed May 9, 2026, 9:53 a.m.
Created at: May 1, 2026, 1:34 a.m.