Triple

T19459763
Position Surface form Disambiguated ID Type / Status
Subject Mayreau E486835 entity
Predicate nearbyIsland P2064 FINISHED
Object Canouan NE NERFINISHED

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: Canouan | Statement: [Mayreau, nearbyIsland, Canouan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canouan
Context triple: [Mayreau, nearbyIsland, Canouan]
  • A. Canouan chosen
    Canouan is a small, exclusive Caribbean island in Saint Vincent and the Grenadines known for its luxury resorts, pristine beaches, and upscale tourism.
  • B. Gonâve Island
    Gonâve Island is a large, sparsely developed Caribbean island off the western coast of Haiti, known for its rural communities, rugged terrain, and limited infrastructure.
  • C. Micoud South
    Micoud South is a parliamentary constituency in Saint Lucia, historically represented by long-serving Prime Minister Sir John Compton.
  • D. Nosy Be
    Nosy Be is a popular resort island off the northwest coast of Madagascar, known for its beaches, marine life, and volcanic lakes.
  • E. Saint-Christophe
    Saint-Christophe was a French colonial possession in the Caribbean, better known today as the island of Saint Kitts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c7f4388190be8c207c94ba8889 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.