Triple
T12454501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U1 line |
E297621
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Südbahnhof |
E879678
|
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: Südbahnhof | Statement: [U1 line, terminus, Südbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Südbahnhof Context triple: [U1 line, terminus, Südbahnhof]
-
A.
Südbahnhof
chosen
Südbahnhof is a major railway and public transport station in Frankfurt am Main that serves as a key interchange for regional trains, S-Bahn, U-Bahn, trams, and buses.
-
B.
Südkreuz station
Südkreuz station is a major Berlin transport hub serving regional, long-distance, and S-Bahn trains in the southern part of the city.
-
C.
Halensee station
Halensee station is a Berlin S-Bahn railway station in the Charlottenburg-Wilmersdorf district, serving as a local transit stop on the city’s western ring line.
-
D.
Reeperbahn S-Bahn station
Reeperbahn S-Bahn station is a rapid transit railway stop in Hamburg, Germany, serving the city’s famous Reeperbahn nightlife and entertainment district.
-
E.
Jungfernheide station
Jungfernheide station is a major public transport hub in Berlin’s Charlottenburg-Nord district, serving S-Bahn, U-Bahn, and regional rail lines.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.