Triple

T103783
Position Surface form Disambiguated ID Type / Status
Subject Dutch E2096 entity
Predicate spokenIn P2266 FINISHED
Object Aruba E36101 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: Aruba | Statement: [Dutch, spokenIn, Aruba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aruba
Context triple: [Dutch, spokenIn, Aruba]
  • A. Aruba chosen
    Aruba is a small Dutch Caribbean island renowned for its white-sand beaches, warm climate, and tourism-driven economy.
  • B. Curaçao
    Curaçao is a Dutch Caribbean island known for its colorful colonial architecture, vibrant coral reefs, and distinctive blue liqueur.
  • C. 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.
  • D. Bahamas
    The Bahamas is an island country in the Atlantic Ocean, known for its tropical climate, coral-based archipelago, and status as a popular tourist and offshore financial center.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256aaed108190ba12e36364d30ede completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a40acd14dc8190a9ab1a5e826a283a completed March 1, 2026, 9:45 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.