Triple
T17779715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Documenta (Kassel) |
E443863
|
entity |
| Predicate | usesVenue |
P373
|
FINISHED |
| Object | Karlsaue park |
—
|
NE NERFINISHED |
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: Karlsaue park | Statement: [Documenta (Kassel), usesVenue, Karlsaue park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karlsaue park Context triple: [Documenta (Kassel), usesVenue, Karlsaue park]
-
A.
Karlsaue Park
chosen
Karlsaue Park is a historic baroque landscape park in Kassel, Germany, known for its formal gardens, expansive meadows, and integration of art and architecture.
-
B.
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.
-
C.
Luisenpark
Luisenpark is a large, historic urban park in Mannheim, Germany, known for its landscaped gardens, lakes, zoo areas, and recreational facilities.
-
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.
Doblhoffpark
Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48720734c819085ebe37065b8c8f3 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.