Triple

T4973340
Position Surface form Disambiguated ID Type / Status
Subject Caribbean Tourism Organization E111704 entity
Predicate hasMember P10 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: [Caribbean Tourism Organization, hasMember, Aruba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aruba
Context triple: [Caribbean Tourism Organization, hasMember, 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 consumer electronics brand known for products such as televisions and audio equipment, historically popular in Europe.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72162d9c81908f05ee1eea013747 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba546a1081909fe082663ad5e238 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:33 p.m.