Triple

T13603965
Position Surface form Disambiguated ID Type / Status
Subject Il Duce E325011 entity
Predicate hasOppositeConnotationInModernUsage P110375 FINISHED
Object pejorative 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: pejorative | Statement: [Il Duce, hasOppositeConnotationInModernUsage, pejorative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOppositeConnotationInModernUsage
Context triple: [Il Duce, hasOppositeConnotationInModernUsage, pejorative]
  • A. hasConnotation
    Indicates that one entity carries an implied or associated meaning, tone, or emotional nuance in relation to another entity.
  • B. hasConceptualOpposite
    Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
  • C. hasPositiveConnotation
    Indicates that something is associated with favorable, pleasant, or approving meanings, feelings, or implications.
  • D. opposite
    Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
  • E. honorificConnotation
    Indicates that one entity refers to or characterizes another using an honorific or respectful form, conveying deference or elevated social status.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbbb8c77dc8190b7bd803b5e168d23 completed April 12, 2026, 3:34 p.m.
Created at: April 9, 2026, 9:50 p.m.