Triple

T34678078
Position Surface form Disambiguated ID Type / Status
Subject Democratic Party of Slovakia E890544 entity
Predicate wasMarginalizedBy P159323 FINISHED
Object Communist Party of Slovakia NE NERFINISHED

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: Communist Party of Slovakia | Statement: [Democratic Party of Slovakia, wasMarginalizedBy, Communist Party of Slovakia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasMarginalizedBy
Context triple: [Democratic Party of Slovakia, wasMarginalizedBy, Communist Party of Slovakia]
  • A. marginalizes chosen
    Indicates treating an individual or group as insignificant or peripheral, limiting their power, voice, or participation within a larger social, political, or organizational context.
  • B. hasHistoricMarginality
    Indicates that an entity has experienced historical social, economic, or political marginalization relative to dominant groups.
  • C. wasMarkedBy
    Indicates that an entity bears a mark, sign, or indication that was applied or caused by another entity.
  • D. causeOfMarginalization
    Indicates a factor, action, or condition that contributes to the social, economic, or political marginalization of an entity.
  • E. discriminatedAgainst
    Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
  • 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_69f349dabc008190a18999c26682ed47 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72325f5b081909fe6821ea2fef16b completed May 3, 2026, 10:27 a.m.
PD Predicate disambiguation batch_69f72157af108190880317a62e634bb0 completed May 3, 2026, 10:20 a.m.
Created at: May 1, 2026, 2:05 a.m.