Triple

T20508182
Position Surface form Disambiguated ID Type / Status
Subject Family Islands E503487 entity
Predicate hasPart P35 FINISHED
Object Mayaguana 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: Mayaguana | Statement: [Family Islands, hasPart, Mayaguana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayaguana
Context triple: [Family Islands, hasPart, Mayaguana]
  • A. Mayaguana chosen
    Mayaguana is a sparsely populated, remote island in the southeastern Bahamas known for its unspoiled beaches, rich marine life, and laid-back, traditional Bahamian lifestyle.
  • B. Diego Martin
    Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
  • C. Camuy
    Camuy is a municipality on Puerto Rico’s northwestern coast, known for its extensive cave system and rural coastal landscapes.
  • D. Bayamo
    Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
  • E. Ocho Rios
    Ocho Rios is a popular resort town on Jamaica’s northern coast, known for its beaches, cruise ship port, and attractions like Dunn’s River Falls.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc8f3c881908ed2e0257a057e73 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.