Triple
T12752081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curt Jürgens |
E304759
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Hamburg |
E7419
|
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: Hamburg | Statement: [Curt Jürgens, residence, Hamburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg Context triple: [Curt Jürgens, residence, Hamburg]
-
A.
Hamburg
chosen
Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
-
B.
Bremen
Bremen is a city-state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port on the Weser River.
-
C.
Gotenhafen
Gotenhafen was the German name for the port city of Gdynia in occupied Poland during World War II, used as a major naval base by the Kriegsmarine.
-
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.
Hamburg and Lübeck
Hamburg and Lübeck is a diocese of the Evangelical Lutheran Church in Northern Germany that encompasses the historic Hanseatic cities of Hamburg and Lübeck and their surrounding regions.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd9555081908b0d027bc332b468 |
completed | April 10, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb1ca1081909b2e9e70f6a497dd |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:27 p.m.