Triple
T9025407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Beach (Südstrand) |
E216034
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Wilhelmshaven city center |
E41561
|
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: Wilhelmshaven city center | Statement: [South Beach (Südstrand), near, Wilhelmshaven city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilhelmshaven city center Context triple: [South Beach (Südstrand), near, Wilhelmshaven city center]
-
A.
Wilhelmshaven
chosen
Wilhelmshaven is a coastal city in northwestern Germany known for its major naval base and port on the North Sea.
-
B.
Aurich
Aurich is a historic town in northwestern Germany that serves as one of the principal urban centers of the East Frisia region in Lower Saxony.
-
C.
Port of Wilhelmshaven
The Port of Wilhelmshaven is Germany’s only deep-water container port and a major North Sea harbor handling crude oil, containers, and naval operations.
-
D.
Cuxhaven
Cuxhaven is a German port city on the North Sea coast that historically served as an important naval and maritime hub.
-
E.
Delmenhorst
Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7ce71c81908041814dc9ec1713 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.