Triple
T6335823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S41 |
E142487
|
entity |
| Predicate | stopsAt |
P6657
|
FINISHED |
| Object | Westkreuz station |
E577015
|
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: Westkreuz station | Statement: [S41, stopsAt, Westkreuz station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westkreuz station Context triple: [S41, stopsAt, Westkreuz station]
-
A.
Westkreuz station
chosen
Westkreuz station is a major Berlin S-Bahn interchange in the west of the city, serving as a key junction for multiple suburban rail lines.
-
B.
Emmerich station
Emmerich station is a railway station in the German town of Emmerich am Rhein that serves as a regional and cross-border transport hub near the Dutch border.
-
C.
Berlin Alexanderplatz station
Berlin Alexanderplatz station is a major transport hub in central Berlin, serving regional and S-Bahn trains as well as U-Bahn and tram lines near the historic Alexanderplatz square.
-
D.
Nordostbahnhof station
Nordostbahnhof station is an underground Nuremberg U-Bahn stop in the city’s northeast, serving the Nordostbahnhof area on line U2.
-
E.
Bern Hauptbahnhof
Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654a88a881908d5cb2aa7f22c4c7 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6042ab22c8190a7486049f45a546b |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.