Triple

T7056161
Position Surface form Disambiguated ID Type / Status
Subject Maipurean languages E164095 entity
Predicate country P26 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: [Maipurean languages, country, Trinidad and Tobago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinidad and Tobago
Context triple: [Maipurean languages, country, 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 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e269050c81908c186609a8a7bcf9 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944809348190bfc96df73f1363b3 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:38 p.m.