Triple
T6230909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S7 |
E139349
|
entity |
| Predicate | viaStation |
P64719
|
FINISHED |
| Object | Berlin Friedrichstraße |
E73425
|
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: Berlin Friedrichstraße | Statement: [S7, viaStation, Berlin Friedrichstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Friedrichstraße Context triple: [S7, viaStation, Berlin Friedrichstraße]
-
A.
Königsallee
Königsallee is Düsseldorf’s famous luxury shopping boulevard, known for its upscale boutiques, grand architecture, and tree-lined canal.
-
B.
Wilhelmstrasse, Berlin
Wilhelmstrasse, Berlin was a major government street in central Berlin that historically housed key Prussian, German, and later Nazi ministries and administrative offices.
-
C.
Kurfürstendamm
Kurfürstendamm is one of Berlin’s most famous boulevards, known for its upscale shops, restaurants, and vibrant urban life.
-
D.
Rothenburger Straße
Rothenburger Straße is a public transit station on Nuremberg’s U3 underground line in Germany.
-
E.
Friedrichstraße
chosen
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ec5be4819084d6df2e8dd2a542 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d1171788190aa302b54d14e9a5d |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:22 p.m.