Triple

T11817402
Position Surface form Disambiguated ID Type / Status
Subject Holzminden E281035 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Bodenwerder E222621 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: Bodenwerder | Statement: [Holzminden, hasNeighbouringMunicipality, Bodenwerder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodenwerder
Context triple: [Holzminden, hasNeighbouringMunicipality, Bodenwerder]
  • A. Bodenwerder chosen
    Bodenwerder is a small German town in Lower Saxony best known as the birthplace of the legendary storyteller Baron Münchhausen.
  • B. Blundeston
    Blundeston is a small village and civil parish in Suffolk, England, known for its rural character and historical association with Charles Dickens’ novel "David Copperfield."
  • C. Wyandanch
    Wyandanch is a hamlet in the town of Babylon in Suffolk County, New York, located on Long Island.
  • D. Malchow
    Malchow is a small locality within the Berlin borough of Lichtenberg, known for its more rural character and green surroundings compared to the inner city.
  • E. Rehoboth
    Rehoboth is a historic rural town in Bristol County, Massachusetts, known as one of the earliest settlements in the region and noted for its colonial heritage and open spaces.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131cbf9708190ba8394fb3508b975 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.