Triple

T13827867
Position Surface form Disambiguated ID Type / Status
Subject Flamingo International Airport E332299 entity
Predicate servesCity P82 FINISHED
Object Kralendijk E255882 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: Kralendijk | Statement: [Flamingo International Airport, servesCity, Kralendijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kralendijk
Context triple: [Flamingo International Airport, servesCity, Kralendijk]
  • A. Kralendijk chosen
    Kralendijk is the main town and administrative center of the island of Bonaire in the Caribbean.
  • B. Oranjestad
    Oranjestad is the largest city and main commercial and tourism hub of Aruba, located on the island’s western coast.
  • C. 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.
  • 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. 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.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0eb7f44819087b1d24e4235a972 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:13 p.m.