Triple

T9673815
Position Surface form Disambiguated ID Type / Status
Subject Barbados Olympic Association E234096 entity
Predicate country P26 FINISHED
Object Barbados E11557 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: Barbados | Statement: [Barbados Olympic Association, country, Barbados]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbados
Context triple: [Barbados Olympic Association, country, Barbados]
  • A. Barbados chosen
    Barbados is an island country in the Caribbean known for its beaches, coral reefs, and status as a popular tourist destination.
  • B. 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.
  • C. Saint Vincent and the Grenadines
    Saint Vincent and the Grenadines is a small Caribbean island nation known for its volcanic main island, numerous smaller Grenadine islands, and tourism centered on sailing and beaches.
  • D. Trinidad and Tobago
    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.
  • E. Saint Lucia
    Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6c05c481909885bfdb850e7527 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcb78e4c8190aaa55de453789168 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 8:15 p.m.