Triple
T19341284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine River in Düsseldorf |
E483760
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | MedienHafen district |
—
|
NE NERFINISHED |
How this triple was built (3 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: MedienHafen district | Statement: [Rhine River in Düsseldorf, adjacentTo, MedienHafen district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MedienHafen district Context triple: [Rhine River in Düsseldorf, adjacentTo, MedienHafen district]
-
A.
Eimsbüttel
Eimsbüttel is a borough of Hamburg, Germany, known for its dense urban neighborhoods, green spaces, and well-connected public transport.
-
B.
Bahnhofsviertel
Bahnhofsviertel is a central Frankfurt district known for its mix of historic Wilhelminian architecture, nightlife, red-light area, and growing creative and gastronomic scene.
-
C.
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.
-
D.
Bornheim Mitte
Bornheim Mitte is a central public transit station in Frankfurt’s Bornheim district, serving as a key stop on the city’s U-Bahn network.
-
E.
Speicherstadt warehouse district
The Speicherstadt warehouse district is a historic complex of red-brick, canal-lined warehouses in Hamburg, Germany, recognized as the world’s largest warehouse district and a UNESCO World Heritage Site.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MedienHafen district Target entity description: The MedienHafen district is a redeveloped former harbor area in Düsseldorf known for its striking contemporary architecture, creative industries, and vibrant nightlife along the Rhine.
-
A.
Eimsbüttel
Eimsbüttel is a borough of Hamburg, Germany, known for its dense urban neighborhoods, green spaces, and well-connected public transport.
-
B.
Bahnhofsviertel
Bahnhofsviertel is a central Frankfurt district known for its mix of historic Wilhelminian architecture, nightlife, red-light area, and growing creative and gastronomic scene.
-
C.
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.
-
D.
Bornheim Mitte
Bornheim Mitte is a central public transit station in Frankfurt’s Bornheim district, serving as a key stop on the city’s U-Bahn network.
-
E.
Speicherstadt warehouse district
The Speicherstadt warehouse district is a historic complex of red-brick, canal-lined warehouses in Hamburg, Germany, recognized as the world’s largest warehouse district and a UNESCO World Heritage Site.
- F. None of above. chosen
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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61856c0948190a3166b3bf3810e43 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.