Triple

T2754446
Position Surface form Disambiguated ID Type / Status
Subject Airbus A318 E61065 entity
Predicate primaryAssemblyLocation P3231 FINISHED
Object Hamburg-Finkenwerder, Germany
Hamburg-Finkenwerder, Germany is an industrial district of Hamburg best known for its large Airbus manufacturing and assembly facilities.
E295478 NE FINISHED

How this triple was built (5 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-Finkenwerder, Germany | Statement: [Airbus A318, primaryAssemblyLocation, Hamburg-Finkenwerder, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg-Finkenwerder, Germany
Context triple: [Airbus A318, primaryAssemblyLocation, Hamburg-Finkenwerder, Germany]
  • A. Brunswick, Germany
    Brunswick, Germany is a historic city in Lower Saxony known for its medieval architecture, former status as a ducal residence, and role as an important commercial and cultural center in northern Germany.
  • B. Flensburg, Germany
    Flensburg, Germany is a historic port city in northern Germany near the Danish border, known for its maritime heritage and role as the last seat of the German government at the end of World War II.
  • C. Hamm, Germany
    Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
  • D. Nassau, Germany
    Nassau, Germany is a historic town on the Lahn River in the state of Rhineland-Palatinate, known as the ancestral seat of the House of Nassau.
  • E. Hanover, Lower Saxony, Germany
    Hanover, Lower Saxony, Germany is a major northern German city and regional capital known for its trade fairs, cultural institutions, and historical role as a former royal seat.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hamburg-Finkenwerder, Germany
Triple: [Airbus A318, primaryAssemblyLocation, Hamburg-Finkenwerder, Germany]
Generated description
Hamburg-Finkenwerder, Germany is an industrial district of Hamburg best known for its large Airbus manufacturing and assembly facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamburg-Finkenwerder, Germany
Target entity description: Hamburg-Finkenwerder, Germany is an industrial district of Hamburg best known for its large Airbus manufacturing and assembly facilities.
  • A. Brunswick, Germany
    Brunswick, Germany is a historic city in Lower Saxony known for its medieval architecture, former status as a ducal residence, and role as an important commercial and cultural center in northern Germany.
  • B. Flensburg, Germany
    Flensburg, Germany is a historic port city in northern Germany near the Danish border, known for its maritime heritage and role as the last seat of the German government at the end of World War II.
  • C. Hamm, Germany
    Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
  • D. Nassau, Germany
    Nassau, Germany is a historic town on the Lahn River in the state of Rhineland-Palatinate, known as the ancestral seat of the House of Nassau.
  • E. Hanover, Lower Saxony, Germany
    Hanover, Lower Saxony, Germany is a major northern German city and regional capital known for its trade fairs, cultural institutions, and historical role as a former royal seat.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryAssemblyLocation
Context triple: [Airbus A318, primaryAssemblyLocation, Hamburg-Finkenwerder, Germany]
  • A. mainLocation chosen
    Indicates that one entity serves as the primary or central location associated with another entity.
  • B. applicationLocation
    Indicates the place or environment where an application is deployed, used, or made available.
  • C. repositoryLocation
    Indicates the place or storage context where a repository is hosted, stored, or maintained.
  • D. assemblyLocationUsedByModel
    Indicates the location where a model is assembled or put together is used or referenced by that model.
  • E. locatedUnder
    Indicates that one entity is positioned directly or generally beneath another entity in space.
  • F. None of above.

Provenance (6 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb7073d081909da84b21015972f2 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdb43d481909bf4e61840979c0a completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc758cc48190a96f80a850316ce3 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd7be9088190a19bed27249e95c4 completed March 10, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.