Triple

T3694265
Position Surface form Disambiguated ID Type / Status
Subject Beinsdorp E78416 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Nieuw-Vennep E40333 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: Nieuw-Vennep | Statement: [Beinsdorp, hasRoadConnectionTo, Nieuw-Vennep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuw-Vennep
Context triple: [Beinsdorp, hasRoadConnectionTo, Nieuw-Vennep]
  • A. Nieuw-Vennep chosen
    Nieuw-Vennep is a town in the Dutch province of North Holland, known as a residential community within the municipality of Haarlemmermeer.
  • B. Zwaanendael
    Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
  • C. Oostvoorne
    Oostvoorne is a coastal village in the western Netherlands known for its dunes, beaches, and nature reserves along the North Sea.
  • D. Nissewaard
    Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
  • E. Zoutelande
    Zoutelande is a coastal village and popular seaside resort in the Dutch province of Zeeland, known for its beaches and dunes along the North Sea.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e9e4748190aa178692ef27e3a6 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeee0488190b59e24f8ad48ad5e completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.