Triple

T22702009
Position Surface form Disambiguated ID Type / Status
Subject Bolesław Leśmian E561346 entity
Predicate hasLiteraryStyleCharacteristic P16928 FINISHED
Object neologism-rich language 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: neologism-rich language | Statement: [Bolesław Leśmian, hasLiteraryStyleCharacteristic, neologism-rich language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiteraryStyleCharacteristic
Context triple: [Bolesław Leśmian, hasLiteraryStyleCharacteristic, neologism-rich language]
  • A. literaryFeature chosen
    Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
  • B. hasAuthorCharacteristic
    Indicates that an author possesses a particular attribute, trait, or quality.
  • C. hasLiteraryForm
    Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
  • D. hasLiteraryMode
    Indicates that a work, text, or expression is associated with a particular literary mode (such as satire, realism, or allegory) that characterizes its style or narrative approach.
  • E. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cb2f548190bfc6f050be7c795a completed April 29, 2026, 3:19 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:16 p.m.