Triple
T23042797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kochstraße U-Bahn station |
E573784
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Kochstraße |
—
|
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: Kochstraße | Statement: [Kochstraße U-Bahn station, formerName, Kochstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kochstraße Context triple: [Kochstraße U-Bahn station, formerName, Kochstraße]
-
A.
Kochstraße
chosen
Kochstraße is a Berlin U-Bahn station on line U6 located near Checkpoint Charlie in the central district of Kreuzberg.
-
B.
Brüderstraße
Brüderstraße is a historic street in the old town of Görlitz, Germany, known for its well-preserved architecture and connection to the central Obermarkt square.
-
C.
Käthchenstadt
Käthchenstadt is a regional nickname for the German city of Heilbronn, referencing the famous play "Das Käthchen von Heilbronn" by Heinrich von Kleist.
-
D.
Deutschland 83
Deutschland 83 is a German Cold War-era television drama series that follows a young East German border guard sent undercover to West Germany as a spy in 1983.
-
E.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18516417081908bf747b20de23a75 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.