Triple

T17223399
Position Surface form Disambiguated ID Type / Status
Subject Ellis Clarke E418047 entity
Predicate countryOfCitizenship 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: [Ellis Clarke, countryOfCitizenship, Trinidad and Tobago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinidad and Tobago
Context triple: [Ellis Clarke, countryOfCitizenship, 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. Trinidad and Tobago–Jamaica
    Trinidad and Tobago–Jamaica is a key regional air route in the Caribbean connecting the twin-island nation of Trinidad and Tobago with the island of Jamaica for business, tourism, and cultural exchange.
  • D. 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.
  • E. 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.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01673e1be08190b39c38fd8115a02c completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.