Triple

T10950764
Position Surface form Disambiguated ID Type / Status
Subject Fuhlsbüttel E258718 entity
Predicate partOfUrbanDistrict P80700 FINISHED
Object Hamburg-Nord borough E902274 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: Hamburg-Nord borough | Statement: [Fuhlsbüttel, partOfUrbanDistrict, Hamburg-Nord borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg-Nord borough
Context triple: [Fuhlsbüttel, partOfUrbanDistrict, Hamburg-Nord borough]
  • A. Hamburg-Nord chosen
    Hamburg-Nord is a central borough of the German city-state of Hamburg, comprising several districts and neighborhoods including Fuhlsbüttel.
  • B. 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.
  • C. Fuhlsbüttel
    Fuhlsbüttel is a district in the northern German city of Hamburg best known for hosting the city’s international airport.
  • D. Hamburg-Mitte
    Hamburg-Mitte is the central borough of Hamburg, Germany, encompassing the historic city center, major commercial areas, and key cultural and political institutions.
  • E. Bahrenfeld district of Hamburg
    The Bahrenfeld district of Hamburg is a western borough of the German city known for its mix of residential areas, sports and event venues, and its association with local football culture.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6fd11b08190b587bebf9586f754 completed April 18, 2026, 8:18 p.m.
Created at: April 8, 2026, 9:23 p.m.