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.