Triple

T8815666
Position Surface form Disambiguated ID Type / Status
Subject Federashon Futbòl Kòrsou E209769 entity
Predicate basedIn P40 FINISHED
Object Willemstad 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 | Statement: [Federashon Futbòl Kòrsou, basedIn, Willemstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willemstad
Context triple: [Federashon Futbòl Kòrsou, basedIn, Willemstad]
  • 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. Zaandam
    Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
  • 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_69ca8363f3308190a47e3f1ebd51f613 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_69cf6fb898388190b96242ff41599250 completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.