Triple

T281885
Position Surface form Disambiguated ID Type / Status
Subject Dutch guilder E5370 entity
Predicate usedIn P98 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 guilder, usedIn, Aruba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aruba
Context triple: [Dutch guilder, usedIn, 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. Bonaire
    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.
  • D. Sint Maarten
    Sint Maarten is a Caribbean island country within the Kingdom of the Netherlands, occupying the southern part of the island of Saint Martin and known for its tourism-driven economy and shared border with the French territory of Saint-Martin.
  • E. 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.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e0a23c0819083abee28b2dea49c completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a56ee8472081908f3d3bed26a40aca completed March 2, 2026, 11:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.