Triple
T3787938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schloßstraße (Berlin) |
E85572
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Schlossstraße (Berlin) |
E85572
|
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: Schlossstraße (Berlin) | Statement: [Schloßstraße (Berlin), hasNameVariant, Schlossstraße (Berlin)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlossstraße (Berlin) Context triple: [Schloßstraße (Berlin), hasNameVariant, Schlossstraße (Berlin)]
-
A.
Schloßstraße (Berlin)
chosen
Schloßstraße (Berlin) is a major shopping street in the Steglitz district of southwestern Berlin, known for its numerous retail stores, malls, and restaurants.
-
B.
Reinickendorfer Straße
Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
-
C.
Leipziger Straße
Leipziger Straße is a major historic thoroughfare in central Berlin, known for its government buildings, commercial centers, and role in the city’s urban core.
-
D.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
E.
Yorckstraße
Yorckstraße is a major street and transport corridor in Berlin’s Kreuzberg and Schöneberg districts, known for its multiple S-Bahn stations and proximity to several historic cemeteries and railway viaducts.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42e430081908d032dcdcef20fc5 |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05031cc8190825105f77dd76438 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.