Triple

T2571468
Position Surface form Disambiguated ID Type / Status
Subject Afro-Arubans E57672 entity
Predicate populationDistribution P560 FINISHED
Object Oranjestad E188327 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: Oranjestad | Statement: [Afro-Arubans, populationDistribution, Oranjestad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oranjestad
Context triple: [Afro-Arubans, populationDistribution, Oranjestad]
  • A. Oranjestad chosen
    Oranjestad is the largest city and main commercial and tourism hub of Aruba, located on the island’s western coast.
  • B. Oranjestad
    Oranjestad is the main town and administrative center of the Caribbean island of Sint Eustatius, known for its historic colonial architecture and coastal setting.
  • C. Kralendijk
    Kralendijk is the main town and administrative center of the island of Bonaire in the Caribbean.
  • D. Willemstad
    Willemstad is the colorful, Dutch colonial-style port city that serves as the capital and cultural center of the Caribbean island of Curaçao.
  • E. Oracabessa
    Oracabessa is a small coastal town in northern Jamaica known for its scenic beaches and as the home of the Goldeneye estate once owned by James Bond author Ian Fleming.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd383dce881909411a38c6d37bc3a completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657028f08190b461442bfc7489e1 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.