Triple

T4310953
Position Surface form Disambiguated ID Type / Status
Subject North Sea via Brouwerssluis E94071 entity
Predicate nearPlace P36605 FINISHED
Object Ouddorp E233209 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: Ouddorp | Statement: [North Sea via Brouwerssluis, nearPlace, Ouddorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouddorp
Context triple: [North Sea via Brouwerssluis, nearPlace, Ouddorp]
  • A. Ouddorp chosen
    Ouddorp is a coastal village in the Netherlands known for its wide North Sea beaches and dunes, popular for tourism and water sports.
  • B. Buitendijk
    Buitendijk is a Dutch surname borne by individuals such as academic leader Simone Buitendijk.
  • C. Nieuwendam
    Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
  • D. Nieuwdorp
    Nieuwdorp is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • E. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d6cba08190a9440cee7b9dc40d completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d56f68630081908564dca6c3c81f14 completed April 7, 2026, 8:56 p.m.
Created at: March 12, 2026, 11:11 p.m.