Triple
T19926293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohlsdorf, Hamburg |
E478930
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Hamburg-Nord |
—
|
NE NERFINISHED |
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: Hamburg-Nord | Statement: [Ohlsdorf, Hamburg, partOf, Hamburg-Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg-Nord Context triple: [Ohlsdorf, Hamburg, partOf, Hamburg-Nord]
-
A.
Hamburg-Nord
chosen
Hamburg-Nord is a central borough of the German city-state of Hamburg, comprising several districts and neighborhoods including Fuhlsbüttel.
-
B.
Hamburg-Eidelstedt
Hamburg-Eidelstedt is a residential and commercial quarter in the northwestern part of Hamburg, Germany, known for its local rail connections and suburban character.
-
C.
Hamburg-Finkenwerder
Hamburg-Finkenwerder is a district of Hamburg, Germany, known for its historic and ongoing role in shipbuilding and aviation industries along the River Elbe.
-
D.
Hamburg-Altona
Hamburg-Altona is a major district and transportation hub in western Hamburg, Germany, known for its busy long-distance and regional train station and vibrant urban neighborhoods.
-
E.
Fuhlsbüttel
Fuhlsbüttel is a district in the northern German city of Hamburg best known for hosting the city’s international airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.