Triple

T11110692
Position Surface form Disambiguated ID Type / Status
Subject Italian Resistance E262745 entity
Predicate hasIdeologicalLegacy P10185 FINISHED
Object Italian anti-fascist culture 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: Italian anti-fascist culture | Statement: [Italian Resistance, hasIdeologicalLegacy, Italian anti-fascist culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIdeologicalLegacy
Context triple: [Italian Resistance, hasIdeologicalLegacy, Italian anti-fascist culture]
  • A. hasIdeologicalOrigin
    Indicates that something originates from, is derived from, or is fundamentally based on a particular ideology.
  • B. hasPredecessorIdeology
    Indicates that one ideology directly precedes and influences the development or adoption of another ideology.
  • C. hasSuccessorIdeology
    Indicates that one ideology follows, replaces, or develops from another as its subsequent ideological form or movement.
  • D. hasIdeologicalRole
    Indicates that an entity holds or fulfills a specific function, position, or influence within an ideology or ideological framework.
  • E. ideologicalInfluence chosen
    Indicates that one entity’s beliefs, values, or doctrines shape, guide, or significantly affect the ideology of another entity.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
PD Predicate disambiguation batch_69d7441cf8188190b8095f622c923156 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.