Triple
T17536418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurfürstendamm |
E427071
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tauentzienstraße |
—
|
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: Tauentzienstraße | Statement: [Kurfürstendamm, hasPart, Tauentzienstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauentzienstraße Context triple: [Kurfürstendamm, hasPart, Tauentzienstraße]
-
A.
Tauentzienstraße
chosen
Tauentzienstraße is a major shopping street in Berlin, Germany, known for its department stores, boutiques, and central location near Kurfürstendamm.
-
B.
Taunusstraße
Taunusstraße is a well-known street in Frankfurt’s Bahnhofsviertel district, noted for its nightlife, diverse restaurants, and red-light establishments.
-
C.
Elbestraße
Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
-
D.
Paradestraße
Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
-
E.
Brienner Straße
Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536d03dc81908b8a58f66657c01a |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.