Triple
T5581798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volksmarine |
E146656
|
entity |
| Predicate | notableBase |
P7127
|
FINISHED |
| Object |
Wolgast
Wolgast is a small town in northeastern Germany on the Baltic Sea coast, historically significant as a port and former naval base.
|
E529361
|
NE FINISHED |
How this triple was built (4 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: Wolgast | Statement: [Volksmarine, notableBase, Wolgast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolgast Context triple: [Volksmarine, notableBase, Wolgast]
-
A.
Lauenburg
Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
-
B.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
-
C.
Lingen
Lingen is a town in Lower Saxony, Germany, known for its location on the River Ems and its role as a regional economic and cultural center.
-
D.
Nockeby
Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
-
E.
Eckernförde
Eckernförde is a coastal town in northern Germany known for its Baltic Sea beaches, historic harbor, and maritime tourism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wolgast Triple: [Volksmarine, notableBase, Wolgast]
Generated description
Wolgast is a small town in northeastern Germany on the Baltic Sea coast, historically significant as a port and former naval base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolgast Target entity description: Wolgast is a small town in northeastern Germany on the Baltic Sea coast, historically significant as a port and former naval base.
-
A.
Lauenburg
Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
-
B.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
-
C.
Lingen
Lingen is a town in Lower Saxony, Germany, known for its location on the River Ems and its role as a regional economic and cultural center.
-
D.
Nockeby
Nockeby is a residential district in western Stockholm, Sweden, known as the terminus of one of the city's historic tram lines.
-
E.
Eckernförde
Eckernförde is a coastal town in northern Germany known for its Baltic Sea beaches, historic harbor, and maritime tourism.
- F. None of above. chosen
Provenance (5 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208147a48190b2cdb42b9c9814a3 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0285e7bc08190bd5a08c50679e9d9 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c037fca93881908d4d7403bfb1f866 |
completed | March 22, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03898327c8190bd3b889bd7663003 |
completed | March 22, 2026, 6:44 p.m. |
Created at: March 22, 2026, 3:37 p.m.