Triple

T10838435
Position Surface form Disambiguated ID Type / Status
Subject Paddepoelsterbrug E255821 entity
Predicate namedAfter P63 FINISHED
Object Paddepoel E888626 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: Paddepoel | Statement: [Paddepoelsterbrug, namedAfter, Paddepoel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paddepoel
Context triple: [Paddepoelsterbrug, namedAfter, Paddepoel]
  • A. Paddepoel chosen
    Paddepoel is a residential neighborhood in the city of Groningen in the Netherlands, known for its post-war housing and proximity to the University of Groningen.
  • B. Palmentuin
    Palmentuin is a historic palm garden and public park in Paramaribo, Suriname, known for its tall royal palms and tranquil atmosphere.
  • C. Gouderak
    Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
  • D. Vriezekoop
    Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
  • E. Olpe
    Olpe is a small town in the Sauerland region of North Rhine-Westphalia, Germany, known for its surrounding forests, hills, and the Biggesee reservoir.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d747002b3081908726901ee83d8f38 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c739708190b0d58fc2d6392c6c completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.