Triple

T714899
Position Surface form Disambiguated ID Type / Status
Subject Dutch colonial empire E14291 entity
Predicate hasPart P35 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: [Dutch colonial empire, hasPart, Bonaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonaire
Context triple: [Dutch colonial empire, hasPart, 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5738e04819082eac673b3b7c4c2 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac82e8bd788190a20a580bae9bd94e completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:36 p.m.