Triple

T22153905
Position Surface form Disambiguated ID Type / Status
Subject Liemers E547483 entity
Predicate contains P35 FINISHED
Object Duiven NE NERFINISHED

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: Duiven | Statement: [Liemers, contains, Duiven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duiven
Context triple: [Liemers, contains, Duiven]
  • A. Duiven chosen
    Duiven is a town and municipality in the eastern Netherlands, located in the province of Gelderland near the city of Arnhem.
  • B. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • C. Vleteren
    Vleteren is a rural municipality in the Belgian province of West Flanders, known for its quiet countryside and traditional Flemish character.
  • D. Negen Straatjes
    Negen Straatjes is a picturesque shopping and dining district in Amsterdam’s historic canal belt, known for its narrow streets, boutique stores, and charming 17th-century architecture.
  • E. The Dutchman
    "The Dutchman" is a poignant folk ballad, popularized by Irish singer Liam Clancy, that tells the story of an elderly Dutch man and his devoted wife coping with aging and memory loss.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.