Triple

T8815811
Position Surface form Disambiguated ID Type / Status
Subject SDK Stadion E209773 entity
Predicate location P40 FINISHED
Object Willemstad, Curaçao E193542 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: Willemstad, Curaçao | Statement: [SDK Stadion, location, Willemstad, Curaçao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willemstad, Curaçao
Context triple: [SDK Stadion, location, Willemstad, Curaçao]
  • A. Willemstad chosen
    Willemstad is the colorful, Dutch colonial-style port city that serves as the capital and cultural center of the Caribbean island of Curaçao.
  • B. Kralendijk
    Kralendijk is the main town and administrative center of the island of Bonaire in the Caribbean.
  • C. Oranjestad
    Oranjestad is the largest city and main commercial and tourism hub of Aruba, located on the island’s western coast.
  • D. 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.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff2ff248190bafcafe8b3860e53 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0609a4819081cae3ae3d5a8478 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:45 p.m.