Triple

T1002972
Position Surface form Disambiguated ID Type / Status
Subject Lesser Antilles E21644 entity
Predicate hasIsland P970 FINISHED
Object Bonaire E53516 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: Bonaire | Statement: [Lesser Antilles, hasIsland, Bonaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonaire
Context triple: [Lesser Antilles, hasIsland, Bonaire]
  • A. Bonaire chosen
    Bonaire is a Caribbean island and special municipality of the Netherlands, known for its exceptional marine biodiversity and world-class scuba diving and snorkeling sites.
  • B. Curaçao
    Curaçao is a Dutch Caribbean island known for its colorful colonial architecture, vibrant coral reefs, and distinctive blue liqueur.
  • C. Aruba
    Aruba is a small Dutch Caribbean island renowned for its white-sand beaches, warm climate, and tourism-driven economy.
  • D. Saba
    Saba is a small Caribbean island that was once a Dutch West India Company colony and is now a special municipality of the Netherlands known for its rugged volcanic terrain and marine biodiversity.
  • E. Sint Eustatius
    Sint Eustatius is a small Caribbean island that is a special municipality of the Netherlands, known for its colonial history and volcanic landscape.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad467e48e0819099f159a2f0aa03b0 completed March 8, 2026, 9:50 a.m.
Created at: March 1, 2026, 7:41 p.m.