Triple

T18679358
Position Surface form Disambiguated ID Type / Status
Subject Voroneț blue E456690 entity
Predicate applicationTechnique P3047 FINISHED
Object fresco secco and buon fresco combinations 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: fresco secco and buon fresco combinations | Statement: [Voroneț blue, applicationTechnique, fresco secco and buon fresco combinations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: applicationTechnique
Context triple: [Voroneț blue, applicationTechnique, fresco secco and buon fresco combinations]
  • A. featuresTechnique
    Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
  • B. allowedTechnique
    Indicates that a particular technique or method is permitted or acceptable to use in a given context or under specified rules.
  • C. technologicalFeature
    Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
  • D. usedByTechnique
    Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
  • E. hasTechnique chosen
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2783648190bb602e2b07eedf92 completed April 19, 2026, 10:45 p.m.
PD Predicate disambiguation batch_69e478db7a248190a8c6584673773923 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:48 a.m.