Triple

T12908476
Position Surface form Disambiguated ID Type / Status
Subject European Netherlands E308787 entity
Predicate formsWith P6653 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: [European Netherlands, formsWith, Aruba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aruba
Context triple: [European Netherlands, formsWith, 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, Caribbean Netherlands
    Saba, Caribbean Netherlands is a small, volcanic Caribbean island known for its pristine natural environment, dramatic landscapes, and exceptional diving and hiking opportunities.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719d4d1c8190a2c4f362e1772a73 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:41 p.m.