Triple

T20458963
Position Surface form Disambiguated ID Type / Status
Subject Alt Buchhorst E501869 entity
Predicate partOf P40 FINISHED
Object municipality of Grünheide (Mark) NE NERFINISHED

How this triple was built (3 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: municipality of Grünheide (Mark) | Statement: [Alt Buchhorst, partOf, municipality of Grünheide (Mark)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: municipality of Grünheide (Mark)
Context triple: [Alt Buchhorst, partOf, municipality of Grünheide (Mark)]
  • A. municipality of Markranstädt
    The municipality of Markranstädt is a town in the Leipzig district of Saxony, Germany, known for its historical villages and proximity to the city of Leipzig.
  • B. municipality of Hügelsheim
    The municipality of Hügelsheim is a small local administrative community in the Rastatt district of the German state of Baden-Württemberg.
  • C. Grue municipality
    Grue municipality is a local government area in Innlandet county, Norway, known for its rural landscape along the Glomma River and its historical ties to forestry and agriculture.
  • D. municipality of Rucphen
    The municipality of Rucphen is a local administrative region in the Dutch province of North Brabant, known for its rural character and small villages.
  • E. municipality of Geltendorf
    The municipality of Geltendorf is a small Bavarian community in southern Germany known for its rural character and role as a local transport hub within the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: municipality of Grünheide (Mark)
Target entity description: The municipality of Grünheide (Mark) is a locality in the Oder-Spree district of Brandenburg, Germany, known for its forests, lakes, and the nearby Tesla Gigafactory Berlin-Brandenburg.
  • A. municipality of Markranstädt
    The municipality of Markranstädt is a town in the Leipzig district of Saxony, Germany, known for its historical villages and proximity to the city of Leipzig.
  • B. municipality of Hügelsheim
    The municipality of Hügelsheim is a small local administrative community in the Rastatt district of the German state of Baden-Württemberg.
  • C. Grue municipality
    Grue municipality is a local government area in Innlandet county, Norway, known for its rural landscape along the Glomma River and its historical ties to forestry and agriculture.
  • D. municipality of Rucphen
    The municipality of Rucphen is a local administrative region in the Dutch province of North Brabant, known for its rural character and small villages.
  • E. municipality of Geltendorf
    The municipality of Geltendorf is a small Bavarian community in southern Germany known for its rural character and role as a local transport hub within the region.
  • F. None of above. chosen

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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a4652c8190acf79fa2e285e436 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.