Triple
T16919783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudow |
E410414
|
entity |
| Predicate | servedByStation |
P726
|
FINISHED |
| Object | U-Bahnhof Rudow |
E1105890
|
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: U-Bahnhof Rudow | Statement: [Rudow, servedByStation, U-Bahnhof Rudow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U-Bahnhof Rudow Context triple: [Rudow, servedByStation, U-Bahnhof Rudow]
-
A.
Berlin U-Bahn station Rudow
chosen
Berlin U-Bahn station Rudow is a southern terminus of Berlin’s underground network, known for its modernist design and role as a key transit hub in the Neukölln district.
-
B.
U-Bahnhof Alt-Mariendorf
U-Bahnhof Alt-Mariendorf is an underground metro station in Berlin that serves as a terminus of the U6 line in the Mariendorf district.
-
C.
Frohnau station
Frohnau station is a suburban railway station in Berlin’s Frohnau district that serves as a key stop on the city’s S-Bahn network.
-
D.
Friedrichsfelde U-Bahn station
Friedrichsfelde U-Bahn station is a Berlin underground railway station serving the Friedrichsfelde district on the city’s U-Bahn network.
-
E.
U-Bahnhof Schloßstraße
U-Bahnhof Schloßstraße is a Berlin U-Bahn station serving the Steglitz district and providing access to the major shopping street Schloßstraße.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.