Triple

T19770570
Position Surface form Disambiguated ID Type / Status
Subject Ohlsdorf Cemetery railway station E474873 entity
Predicate locatedIn P40 FINISHED
Object Ohlsdorf, Hamburg 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: Ohlsdorf, Hamburg | Statement: [Ohlsdorf Cemetery railway station, locatedIn, Ohlsdorf, Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohlsdorf, Hamburg
Context triple: [Ohlsdorf Cemetery railway station, locatedIn, Ohlsdorf, Hamburg]
  • A. Ohlsdorf, Hamburg chosen
    Ohlsdorf, Hamburg is a northern district of Hamburg, Germany, best known for containing one of the world’s largest rural cemeteries, Ohlsdorf Cemetery.
  • B. Ohlsdorf
    Ohlsdorf is a municipality in Austria’s Salzkammergut region, known for its cultural heritage and scenic Alpine surroundings.
  • C. HafenCity, Hamburg
    HafenCity, Hamburg is a major urban redevelopment district on the Elbe River that transforms former port and warehouse areas into a modern mixed-use waterfront quarter.
  • D. Hamburg-Waltershof
    Hamburg-Waltershof is a major port and industrial district of Hamburg, Germany, known for its container terminals and logistics facilities within the Port of Hamburg.
  • E. Gotenhafen
    Gotenhafen was the German name for the port city of Gdynia in occupied Poland during World War II, used as a major naval base by the Kriegsmarine.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535bd8c0819097671783962b6bc5 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.