Triple

T38344626
Position Surface form Disambiguated ID Type / Status
Subject pragma-dialectics E1041504 entity
Predicate interpretsFallaciesAs P198689 FINISHED
Object violations of discussion rules 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: violations of discussion rules | Statement: [pragma-dialectics, interpretsFallaciesAs, violations of discussion rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interpretsFallaciesAs
Context triple: [pragma-dialectics, interpretsFallaciesAs, violations of discussion rules]
  • A. misinterpretedBy
    Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
  • B. interpretiveConsequence
    Indicates that one entity is a conclusion, implication, or interpretive outcome that follows from another entity.
  • C. parityInterpretation
    Indicates that one entity is interpreted or classified in terms of its parity (e.g., as even or odd) relative to another entity or a given parity scheme.
  • D. allegoricalInterpretation
    Indicates that one entity is interpreted as symbolically representing deeper, often moral or spiritual, meanings within another entity (such as a text, image, or event).
  • E. disputedInterpretation
    Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
  • 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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fefb15220081908da36aac386fa582 completed May 9, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69fefa8e8ad48190a723fed81e9d64d0 completed May 9, 2026, 9:12 a.m.
PDg Predicate description generation batch_69fefb13eb288190bcfae0541cfd7b98 completed May 9, 2026, 9:15 a.m.
Created at: May 3, 2026, 4:30 p.m.