Triple

T23690121
Position Surface form Disambiguated ID Type / Status
Subject 1979 Spanish general election E585273 entity
Predicate mainOppositionIdeology P71334 FINISHED
Object social democracy 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: social democracy | Statement: [1979 Spanish general election, mainOppositionIdeology, social democracy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainOppositionIdeology
Context triple: [1979 Spanish general election, mainOppositionIdeology, social democracy]
  • A. opposingIdeology
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • B. opposingFactionIdeology
    Indicates that two factions hold ideologies that are in direct conflict or fundamental opposition to each other.
  • C. ideologicalPairing
    Indicates a relationship where two entities are associated or grouped together based on shared, complementary, or contrasting ideological positions.
  • D. mainIdeologue
    Indicates that one entity serves as the primary theorist or chief ideological architect behind another entity’s beliefs, policies, or movement.
  • E. mainIdeologicalCurrents chosen
    Indicates the primary ideological trends, doctrines, or belief systems that significantly shape or characterize a given entity or context.
  • 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_69e249037ce0819088b149608e98f685 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b5c16af08190b2f4d126c60a7e75 completed April 29, 2026, 7:39 a.m.
PD Predicate disambiguation batch_69f155d5265881908e43a9696b6a6d0f completed April 29, 2026, 12:50 a.m.
Created at: April 17, 2026, 6:52 p.m.