Triple

T10950730
Position Surface form Disambiguated ID Type / Status
Subject Fuhlsbüttel E258718 entity
Predicate locatedIn P40 FINISHED
Object State of Hamburg E562294 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: State of Hamburg | Statement: [Fuhlsbüttel, locatedIn, State of Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Hamburg
Context triple: [Fuhlsbüttel, locatedIn, State of Hamburg]
  • A. federal state of Hamburg chosen
    The federal state of Hamburg is a city-state in northern Germany that combines the major port city of Hamburg with its surrounding districts as one of the country’s 16 federal states.
  • B. State of Bremen
    The State of Bremen is a small federal state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port facilities.
  • C. Hamburg state
    Hamburg state is a federal state of Germany that consists primarily of the city of Hamburg, a major northern European port and cultural center.
  • D. federal state of Berlin
    The federal state of Berlin is both Germany’s capital city and one of its 16 constituent states, functioning as a major political, cultural, and economic center in Europe.
  • E. Bremen
    Bremen is a city-state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port on the Weser River.
  • 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_69d770ed2f1c819081ec58457f57889d 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.