Triple

T20459112
Position Surface form Disambiguated ID Type / Status
Subject Spreeau E501875 entity
Predicate municipality P852 FINISHED
Object Grünheide (Mark) 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: Grünheide (Mark) | Statement: [Spreeau, municipality, Grünheide (Mark)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grünheide (Mark)
Context triple: [Spreeau, municipality, Grünheide (Mark)]
  • A. Grünheide (Mark) chosen
    Grünheide (Mark) is a municipality in the German state of Brandenburg, southeast of Berlin, known for hosting major industrial developments and being surrounded by forests and lakes.
  • B. Grünheide
    Grünheide is a village in the Brandenburg municipality of Grünheide (Mark) in eastern Germany, known for its forested lakeside setting near Berlin.
  • C. Brühlwiese
    Brühlwiese is a festival meadow in Bad Dürkheim, Germany, best known as the traditional site of the town’s famous Wurstmarkt wine and sausage fair.
  • D. Gräfenhainichen
    Gräfenhainichen is a small town in Saxony-Anhalt, Germany, historically noted as the birthplace of the Lutheran hymn writer Paul Gerhardt.
  • E. Trassenheide
    Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
  • 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_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.