Triple

T1708692
Position Surface form Disambiguated ID Type / Status
Subject Curaçao E36928 entity
Predicate largestCity P235 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: [Curaçao, largestCity, Willemstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willemstad
Context triple: [Curaçao, largestCity, 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. Oranjestad
    Oranjestad is the largest city and main commercial and tourism hub of Aruba, located on the island’s western coast.
  • C. Stellendam
    Stellendam is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its fishing harbor and proximity to the North Sea.
  • D. Leeuwarden
    Leeuwarden is a historic city in the northern Netherlands, known as the capital of the province of Friesland and for its rich cultural and architectural heritage.
  • E. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d1882c81908e02e36ab28e7fdc completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.