Triple
T1711544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Düsseldorf |
E36993
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | MedienHafen |
E193726
|
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: MedienHafen | Statement: [Düsseldorf, hasLandmark, MedienHafen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MedienHafen Context triple: [Düsseldorf, hasLandmark, MedienHafen]
-
A.
MedienHafen
chosen
MedienHafen is a redeveloped former harbor area in Düsseldorf known for its striking contemporary architecture, media and creative industries, and vibrant waterfront nightlife.
-
B.
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.
-
C.
Reeperbahn entertainment district
The Reeperbahn entertainment district is Hamburg’s famous nightlife hub, renowned for its bars, clubs, theaters, and red-light venues in the St. Pauli quarter.
-
D.
Hamburg
Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
-
E.
Höchst
Höchst is a historic district in western Frankfurt am Main, Germany, known for its well-preserved old town and former industrial and chemical industry sites.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63149288819082e7055d0d292d1d |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d1882c81908e02e36ab28e7fdc |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.