Triple

T25137871
Position Surface form Disambiguated ID Type / Status
Subject Saint Lucia Labour Party E629710 entity
Predicate hasPoliticalRivalryWith P74162 FINISHED
Object United Workers Party 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: United Workers Party | Statement: [Saint Lucia Labour Party, hasPoliticalRivalryWith, United Workers Party]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalRivalryWith
Context triple: [Saint Lucia Labour Party, hasPoliticalRivalryWith, United Workers Party]
  • A. politicalRivalOf chosen
    Indicates a relationship in which two political actors or groups compete against or oppose each other for power, influence, or office.
  • B. archenemyOf
    Indicates a relationship in which one entity is the principal or most important enemy of another, often characterized by deep, ongoing opposition or rivalry.
  • C. hasPoliticalRelationshipWith
    Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
  • D. allianceOrRivalry
    Indicates a relationship where entities are either cooperating as allies or competing as rivals, capturing both partnership and opposition dynamics.
  • E. opponentInHistoricalConflict
    Indicates that two entities stood on opposing sides in a specific historical conflict or war.
  • 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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 18, 2026, 6:29 a.m.