Triple
T22929997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurter Tor U-Bahn station |
E569408
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Frankfurter Allee |
—
|
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: Frankfurter Allee | Statement: [Frankfurter Tor U-Bahn station, formerName, Frankfurter Allee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankfurter Allee Context triple: [Frankfurter Tor U-Bahn station, formerName, Frankfurter Allee]
-
A.
Frankfurter Allee
chosen
Frankfurter Allee is a major street and transport hub in Berlin, Germany, served by both U-Bahn and S-Bahn lines.
-
B.
Adenauerallee
Adenauerallee is a major boulevard in Bonn, Germany, known for hosting several important cultural institutions and museums along its route.
-
C.
Hofjägerallee
Hofjägerallee is a major tree-lined avenue in Berlin’s Tiergarten park, known for connecting central traffic hubs and offering scenic routes through the city’s largest urban green space.
-
D.
Bundesallee
Bundesallee is a major arterial street in Berlin, Germany, running through the southwestern districts and serving as an important commercial and traffic axis.
-
E.
Hohenzollernstraße
Hohenzollernstraße is a well-known shopping and residential street in Munich’s Schwabing district, lined with boutiques, cafés, and historic buildings.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180dc33e8819099e5ad87207de57f |
completed | April 29, 2026, 3:54 a.m. |
Created at: April 17, 2026, 3:44 p.m.