Triple
T9209176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittenbergplatz |
E221066
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Tauentzienstraße |
E786649
|
NE FINISHED |
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: [Wittenbergplatz, hasNearbyStreet, Tauentzienstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauentzienstraße Context triple: [Wittenbergplatz, hasNearbyStreet, 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.
Paradestraße
Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
-
C.
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.
-
D.
Turmstraße
Turmstraße is a major street and local center in Berlin’s Moabit district, known for its shops, eateries, and public transport connections.
-
E.
Zimmerstraße
Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e32f4bcc8190902aa5e02cc051d9 |
completed | April 4, 2026, 10:08 a.m. |
Created at: March 30, 2026, 7:26 p.m.