Triple

T2162379
Position Surface form Disambiguated ID Type / Status
Subject Hosay E46829 entity
Predicate region P40 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: [Hosay, region, Trinidad and Tobago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinidad and Tobago
Context triple: [Hosay, region, 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 Caribbean island nation known for its vibrant culture, reggae music, and tropical landscapes.
  • E. Jamaica
    Jamaica is a major neighborhood and transportation hub in the borough of Queens, New York City, known for its busy commercial center and key rail connections, including the Long Island Rail Road and AirTrain to JFK Airport.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8b9c0881908373eabc7f81c394 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5766a918081908953b6b508e4e6e0 completed March 14, 2026, 2:53 p.m.
Created at: March 4, 2026, 7:45 p.m.