Triple
T15560007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autobahn A28 |
E370970
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Ganderkesee
Ganderkesee is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
|
E1163452
|
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: Ganderkesee | Statement: [Autobahn A28, passesNear, Ganderkesee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganderkesee Context triple: [Autobahn A28, passesNear, Ganderkesee]
-
A.
Lake Müritz
Lake Müritz is Germany’s second-largest lake and a central feature of the Mecklenburg Lake District, known for its extensive wetlands, rich birdlife, and surrounding protected landscapes.
-
B.
Malchower See
Malchower See is a lake in the Malchow area of Berlin, Germany, known for its natural surroundings and local recreational use.
-
C.
Salzgittersee
Salzgittersee is a large recreational lake in the city of Salzgitter, Germany, popular for swimming, water sports, and leisure activities.
-
D.
Blausee
Blausee is a small, crystal-clear alpine lake in the Swiss Bernese Oberland, famed for its striking blue waters and tranquil forest surroundings.
-
E.
Heiligensee
Heiligensee is a residential and partly lakeside locality in the northwest of Berlin, known for its green spaces and village-like character within the borough of Reinickendorf.
- 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: Ganderkesee Triple: [Autobahn A28, passesNear, Ganderkesee]
Generated description
Ganderkesee is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ganderkesee Target entity description: Ganderkesee is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
-
A.
Lake Müritz
Lake Müritz is Germany’s second-largest lake and a central feature of the Mecklenburg Lake District, known for its extensive wetlands, rich birdlife, and surrounding protected landscapes.
-
B.
Malchower See
Malchower See is a lake in the Malchow area of Berlin, Germany, known for its natural surroundings and local recreational use.
-
C.
Salzgittersee
Salzgittersee is a large recreational lake in the city of Salzgitter, Germany, popular for swimming, water sports, and leisure activities.
-
D.
Blausee
Blausee is a small, crystal-clear alpine lake in the Swiss Bernese Oberland, famed for its striking blue waters and tranquil forest surroundings.
-
E.
Heiligensee
Heiligensee is a residential and partly lakeside locality in the northwest of Berlin, known for its green spaces and village-like character within the borough of Reinickendorf.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456635588190a2473bcff3ae4a53 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff46f44b2c81909f65f0ab455c6549 |
completed | May 9, 2026, 2:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff477a63b48190a453cf669dfda228 |
completed | May 9, 2026, 2:40 p.m. |
Created at: April 10, 2026, 4:09 a.m.