Triple

T19357548
Position Surface form Disambiguated ID Type / Status
Subject Reinbek Castle E484188 entity
Predicate locatedIn P40 FINISHED
Object Reinbek 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: Reinbek | Statement: [Reinbek Castle, locatedIn, Reinbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinbek
Context triple: [Reinbek Castle, locatedIn, Reinbek]
  • A. Reinbek chosen
    Reinbek is a town in northern Germany’s Schleswig-Holstein state, located just east of Hamburg and known for its historic castle and proximity to the Sachsenwald forest.
  • B. Langenhagen
    Langenhagen is a town in Lower Saxony, Germany, located just north of Hanover and known for hosting part of Hanover Airport and various industrial and commercial facilities.
  • C. Hamburg-Finkenwerder
    Hamburg-Finkenwerder is a district of Hamburg, Germany, known for its historic and ongoing role in shipbuilding and aviation industries along the River Elbe.
  • D. Norderstedt
    Norderstedt is a city in northern Germany that forms part of the Hamburg metropolitan area and is one of the larger urban centers in the state of Schleswig-Holstein.
  • E. Stolzenhagen
    Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619096c1081909ce2cbf7ae804e73 completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.