Triple
T1074713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rügen |
E23809
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Bergen auf Rügen
Bergen auf Rügen is the central town and administrative hub of Germany’s Baltic Sea island of Rügen, known for its historic old town and proximity to the island’s coastal attractions.
|
E123339
|
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: Bergen auf Rügen | Statement: [Rügen, hasCity, Bergen auf Rügen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergen auf Rügen Context triple: [Rügen, hasCity, Bergen auf Rügen]
-
A.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
B.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
C.
Rügen
Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
-
D.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
E.
Maienwerder
Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
- 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: Bergen auf Rügen Triple: [Rügen, hasCity, Bergen auf Rügen]
Generated description
Bergen auf Rügen is the central town and administrative hub of Germany’s Baltic Sea island of Rügen, known for its historic old town and proximity to the island’s coastal attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergen auf Rügen Target entity description: Bergen auf Rügen is the central town and administrative hub of Germany’s Baltic Sea island of Rügen, known for its historic old town and proximity to the island’s coastal attractions.
-
A.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
B.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
C.
Rügen
Rügen is Germany’s largest island, known for its chalk cliffs, seaside resorts, and beaches along the Baltic Sea coast.
-
D.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
E.
Maienwerder
Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92cbfd481909e2f928c1d06ebaa |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a9af14819091d4f2578c6b1c02 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac434b7ea081909d5608831e29b5a9 |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43b393748190a5fa81b7ab7fa911 |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:42 p.m.