Triple

T32048352
Position Surface form Disambiguated ID Type / Status
Subject Tuuri E818412 entity
Predicate hasNotableStyleFeature P46274 FINISHED
Object archaisms and folkloric diction 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: archaisms and folkloric diction | Statement: [Tuuri, hasNotableStyleFeature, archaisms and folkloric diction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableStyleFeature
Context triple: [Tuuri, hasNotableStyleFeature, archaisms and folkloric diction]
  • A. notableStyleFeature chosen
    Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
  • B. hasNotableFeature
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • C. hasStyleCharacteristics
    Indicates that one entity exhibits or embodies the stylistic features, traits, or qualities associated with another entity.
  • D. hasNotableBearerStyle
    Indicates that a particular style, form, or variant is notably associated with a specific bearer (such as a person, group, or entity) as a distinguishing characteristic.
  • E. hasStyle
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • 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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a00d820a7788190a8d54625cd87be68 completed May 10, 2026, 7:10 p.m.
PD Predicate disambiguation batch_6a00d7c5b40c8190b80413238d04e81e completed May 10, 2026, 7:08 p.m.
Created at: May 1, 2026, 12:20 a.m.