Triple

T35400960
Position Surface form Disambiguated ID Type / Status
Subject Destroy the Language E1023226 entity
Predicate hasRadicalFeature P194210 FINISHED
Object subversion of conventional language use 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: subversion of conventional language use | Statement: [Destroy the Language, hasRadicalFeature, subversion of conventional language use]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRadicalFeature
Context triple: [Destroy the Language, hasRadicalFeature, subversion of conventional language use]
  • A. hasRadicalType
    Indicates that an entity is associated with or classified by a specific type of radical (e.g., chemical, linguistic, or structural radical).
  • B. hasRadicalForm
    Indicates that an entity (such as a character, symbol, or expression) possesses or is associated with a specific radical-based structural form.
  • C. belongsToRadical
    Indicates that something is a component, member, or part of a specified radical group or radical element.
  • D. usesRadicalsForIndexing
    Indicates that something organizes or looks up written characters based on their constituent radicals as the primary indexing method.
  • E. semanticRadicalOfCharacter
    Indicates that one element is the semantic radical (meaning-bearing component) of a given written character.
  • F. None of above. chosen

Provenance (4 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_69f76df43ca4819098711ca4370f1bb9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd67191cf88190b53ecbf5be3564e9 completed May 8, 2026, 4:31 a.m.
PD Predicate disambiguation batch_69fd654fdaac81908e67e75194710f06 completed May 8, 2026, 4:23 a.m.
PDg Predicate description generation batch_69fd67182c348190aa84a02e08dbf4e1 completed May 8, 2026, 4:31 a.m.
Created at: May 3, 2026, 4:03 p.m.