Triple

T8069404
Position Surface form Disambiguated ID Type / Status
Subject Queen Beatrix International Airport E188330 entity
Predicate serves P98 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: [Queen Beatrix International Airport, serves, Oranjestad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oranjestad
Context triple: [Queen Beatrix International Airport, serves, 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. Port of Oranjestad
    The Port of Oranjestad is the main seaport of Aruba’s capital, serving as a key hub for cruise tourism and maritime trade in the southern Caribbean.
  • E. Willemstad
    Willemstad is the colorful, Dutch colonial-style port city that serves as the capital and cultural center of the Caribbean island of Curaçao.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ffbd59c8190a34398ddb4ee551e completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe67d9dc8190ad72e3f5ce7478e3 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:27 p.m.