Triple
T8863817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassel |
E210960
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Karlsaue Park
Karlsaue Park is a historic baroque landscape park in Kassel, Germany, known for its formal gardens, expansive meadows, and integration of art and architecture.
|
E762286
|
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: Karlsaue Park | Statement: [Kassel, hasLandmark, Karlsaue Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlsaue Park Context triple: [Kassel, hasLandmark, Karlsaue Park]
-
A.
Schillerpark
Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
-
B.
Luisenpark
Luisenpark is a large, historic urban park in Mannheim, Germany, known for its landscaped gardens, lakes, zoo areas, and recreational facilities.
-
C.
Görlitzer Park
Görlitzer Park is a large, historically significant urban green space in Berlin’s Kreuzberg district, known for its diverse social scene and cultural events.
-
D.
Englischer Garten
Englischer Garten is a large public park in Munich, Germany, renowned for its expansive green spaces, beer gardens, and riverside surfing on the Eisbach.
-
E.
U Kleistpark
U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
- 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: Karlsaue Park Triple: [Kassel, hasLandmark, Karlsaue Park]
Generated description
Karlsaue Park is a historic baroque landscape park in Kassel, Germany, known for its formal gardens, expansive meadows, and integration of art and architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karlsaue Park Target entity description: Karlsaue Park is a historic baroque landscape park in Kassel, Germany, known for its formal gardens, expansive meadows, and integration of art and architecture.
-
A.
Schillerpark
Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
-
B.
Luisenpark
Luisenpark is a large, historic urban park in Mannheim, Germany, known for its landscaped gardens, lakes, zoo areas, and recreational facilities.
-
C.
Görlitzer Park
Görlitzer Park is a large, historically significant urban green space in Berlin’s Kreuzberg district, known for its diverse social scene and cultural events.
-
D.
Englischer Garten
Englischer Garten is a large public park in Munich, Germany, renowned for its expansive green spaces, beer gardens, and riverside surfing on the Eisbach.
-
E.
U Kleistpark
U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610416b48190a26f0c457089ffca |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0caccd88190b6464f53d0239e47 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa1abe8248190b6db4713292bdfd3 |
completed | April 3, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa24be80481909e2b575f99cd1dc4 |
completed | April 3, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:50 p.m.