Triple
T17917556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prenzlauer Berg |
E447971
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Mauerpark karaoke |
—
|
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: Mauerpark karaoke | Statement: [Prenzlauer Berg, knownFor, Mauerpark karaoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauerpark karaoke Context triple: [Prenzlauer Berg, knownFor, Mauerpark karaoke]
-
A.
Schottenkapelle
Schottenkapelle is a chapel associated with Vienna’s historic Schottenstift (Scottish Abbey), known for its religious significance and architectural heritage.
-
B.
Reeperbahn
Reeperbahn is Hamburg’s famous red-light and nightlife district street, known for its clubs, bars, theaters, and vibrant entertainment scene.
-
C.
Musiksaal
Musiksaal is the renowned main concert hall of the Stadtcasino Basel, known for its excellent acoustics and role as a central venue for classical music performances in Basel, Switzerland.
-
D.
Mauerpark
chosen
Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
-
E.
Bad Godesberg
Bad Godesberg is a district in the city of Bonn, Germany, known for its affluent residential areas, former diplomatic missions, and scenic location along the Rhine River.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30778fc81908b5b2e308fb158a5 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.