Triple
T11688571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peenebrücke Wolgast |
E277806
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | town of Wolgast |
E529361
|
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: town of Wolgast | Statement: [Peenebrücke Wolgast, serves, town of Wolgast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Wolgast Context triple: [Peenebrücke Wolgast, serves, town of Wolgast]
-
A.
Wolgast
chosen
Wolgast is a small town in northeastern Germany on the Baltic Sea coast, historically significant as a port and former naval base.
-
B.
Town of Schleswig
The Town of Schleswig is a small rural municipality in eastern Wisconsin known for its agricultural landscape and quiet residential character within Manitowoc County.
-
C.
Wierzbnik town
Wierzbnik was a former town in Poland that later became part of the modern city of Starachowice through an administrative merger.
-
D.
Wustrow
Wustrow is a small town in the Wendland region of Lower Saxony, Germany, known for its rural character and traditional half-timbered architecture.
-
E.
town of Tangermünde
The town of Tangermünde is a historic German town on the Elbe River, renowned for its well-preserved medieval architecture and brick Gothic buildings.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef831d27248190894ffdb12c1ddd4d |
completed | April 27, 2026, 3:39 p.m. |
Created at: April 8, 2026, 9:40 p.m.