Triple
T19930506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartier Schützenstrasse, Berlin |
E479038
|
entity |
| Predicate | street |
P959
|
FINISHED |
| Object | Markgrafenstrasse |
—
|
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: Markgrafenstrasse | Statement: [Quartier Schützenstrasse, Berlin, street, Markgrafenstrasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markgrafenstrasse Context triple: [Quartier Schützenstrasse, Berlin, street, Markgrafenstrasse]
-
A.
Markgrafenstraße
chosen
Markgrafenstraße is a central street in Berlin, Germany, running near the historic Gendarmenmarkt square and lined with offices, shops, and notable buildings.
-
B.
Georgstrasse
Georgstrasse is a prominent shopping and commercial street in the center of Hanover, Germany, known for its retail stores, cafes, and historic urban setting.
-
C.
Maximilianstraße
Maximilianstraße is one of Munich’s most famous boulevards, known for its luxury boutiques, grand architecture, and cultural landmarks.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Lothringerstraße
Lothringerstraße is a central street in Vienna, Austria, located near major landmarks such as Karlsplatz and the Ringstrasse.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a13265c8190bc01d3af5bd658d7 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.