Triple
T10950568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaistudio |
E258714
|
entity |
| Predicate | cityDistrict |
P2709
|
FINISHED |
| Object | HafenCity, Hamburg |
E899253
|
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: HafenCity, Hamburg | Statement: [Kaistudio, cityDistrict, HafenCity, Hamburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HafenCity, Hamburg Context triple: [Kaistudio, cityDistrict, HafenCity, Hamburg]
-
A.
HafenCity, Hamburg
chosen
HafenCity, Hamburg is a major urban redevelopment district on the Elbe River that transforms former port and warehouse areas into a modern mixed-use waterfront quarter.
-
B.
Ohlsdorf, Hamburg
Ohlsdorf, Hamburg is a northern district of Hamburg, Germany, best known for containing one of the world’s largest rural cemeteries, Ohlsdorf Cemetery.
-
C.
Port of Hamburg
The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
-
D.
Lübeck seaport
Lübeck seaport is a major Baltic Sea harbor in northern Germany that serves as an important hub for maritime trade and ferry connections between Central Europe and Scandinavia.
-
E.
Duisburg Inner Harbour
Duisburg Inner Harbour is a historic inland port area in Duisburg, Germany, that has been transformed into a mixed-use district with cultural, residential, and commercial developments along the waterfront.
- 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_69e3a94466bc8190b4d4db70083ab5a5 |
completed | April 18, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:23 p.m.