Triple

T13200765
Position Surface form Disambiguated ID Type / Status
Subject Edwin Carrington E314233 entity
Predicate nationality P2 FINISHED
Object Trinidad and Tobago E12048 NE 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: Trinidad and Tobago | Statement: [Edwin Carrington, nationality, Trinidad and Tobago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinidad and Tobago
Context triple: [Edwin Carrington, nationality, Trinidad and Tobago]
  • A. Trinidad and Tobago chosen
    Trinidad and Tobago is a twin-island Caribbean nation known for its rich cultural diversity, vibrant Carnival celebrations, and significant oil and natural gas resources.
  • B. Barbados
    Barbados is an island country in the Caribbean known for its beaches, coral reefs, and status as a popular tourist destination.
  • C. Antigua and Barbuda
    Antigua and Barbuda is a small Caribbean island nation known for its tourism-driven economy, coral reefs, and numerous white-sand beaches.
  • D. Jamaica
    Jamaica is a station on Mexico City’s metro system, serving as a key transfer point between multiple lines near the city’s central market area.
  • E. Jamaica
    Jamaica is a Caribbean island nation known for its vibrant culture, reggae music, and tropical landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6591d881909a6ebc22246caead completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff00a2f48190b88babba80521818 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:16 p.m.