Triple

T13921052
Position Surface form Disambiguated ID Type / Status
Subject Restoration Spain E334741 entity
Predicate hasOppositionIdeology P18907 FINISHED
Object republicanism 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: republicanism | Statement: [Restoration Spain, hasOppositionIdeology, republicanism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOppositionIdeology
Context triple: [Restoration Spain, hasOppositionIdeology, republicanism]
  • A. hasOpposedIdea
    Indicates that one entity holds an idea that conflicts with, contradicts, or stands in opposition to the idea held by another entity.
  • B. opposingIdeology chosen
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • C. opposingFactionIdeology
    Indicates that two factions hold ideologies that are in direct conflict or fundamental opposition to each other.
  • D. hasOppositionCoalition
    Indicates that a political entity faces an organized coalition of opposing parties or groups.
  • E. hasIdeologicalPosition
    Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:16 p.m.