Triple

T16956099
Position Surface form Disambiguated ID Type / Status
Subject Wijkertunnel E411305 entity
Predicate namedAfter P63 FINISHED
Object Wijk aan Zee E1069976 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: Wijk aan Zee | Statement: [Wijkertunnel, namedAfter, Wijk aan Zee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wijk aan Zee
Context triple: [Wijkertunnel, namedAfter, Wijk aan Zee]
  • A. Wijk aan Zee chosen
    Wijk aan Zee is a coastal village in the Netherlands best known for hosting one of the world’s most prestigious annual chess tournaments, the Tata Steel Chess Tournament.
  • B. Katwijk
    Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
  • C. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • D. Scheveningen
    Scheveningen is a popular seaside resort district of The Hague in the Netherlands, known for its long sandy beach, pier, and promenade along the North Sea coast.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01c7b408190b5a2b6c62b050b76 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c181b08190a6e8912f4e1da6a0 completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:31 a.m.