Triple

T5186605
Position Surface form Disambiguated ID Type / Status
Subject Tesla Gigafactory Berlin-Brandenburg E117045 entity
Predicate locatedIn P40 FINISHED
Object Grünheide (Mark) E117045 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: Grünheide (Mark) | Statement: [Tesla Gigafactory Berlin-Brandenburg, locatedIn, Grünheide (Mark)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grünheide (Mark)
Context triple: [Tesla Gigafactory Berlin-Brandenburg, locatedIn, 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. 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.
  • C. Wiesengrund
    Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
  • D. Hakenfelde
    Hakenfelde is a locality in the Berlin borough of Spandau, known for its residential areas, green spaces, and proximity to the Havel River.
  • E. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c3e9e08190848be4208b72f310 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08807748190ae8f34a6e8875c15 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.