Triple
T1074729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rügen |
E23809
|
entity |
| Predicate | hasBridgeConnection |
P845
|
FINISHED |
| Object |
Rügendamm
Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
|
E132525
|
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: Rügendamm | Statement: [Rügen, hasBridgeConnection, Rügendamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rügendamm Context triple: [Rügen, hasBridgeConnection, Rügendamm]
-
A.
Subingen
Subingen is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to regional transport routes.
-
B.
Röcken
Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
-
C.
Quakenbrück
Quakenbrück is a small historic town in Lower Saxony, Germany, known for its medieval architecture and location in the Artland region.
-
D.
Maienwerder
Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
-
E.
Seestraße
Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
- 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: Rügendamm Triple: [Rügen, hasBridgeConnection, Rügendamm]
Generated description
Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rügendamm Target entity description: Rügendamm is a causeway and bridge complex in northern Germany that connects the island of Rügen to the mainland across the Strelasund.
-
A.
Subingen
Subingen is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to regional transport routes.
-
B.
Röcken
Röcken is a small village in Saxony-Anhalt, Germany, best known as the birthplace of the philosopher Friedrich Nietzsche.
-
C.
Quakenbrück
Quakenbrück is a small historic town in Lower Saxony, Germany, known for its medieval architecture and location in the Artland region.
-
D.
Maienwerder
Maienwerder is a small island located in the Tegeler See lake in Berlin, Germany, known for its natural setting and limited accessibility.
-
E.
Seestraße
Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
- 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_69ac5ea491ec8190bf6bd84ecb5af341 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f15c2808190905e40c6db9d957c |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac633749008190bae63644d5ee7cea |
completed | March 7, 2026, 5:41 p.m. |
Created at: March 1, 2026, 7:42 p.m.