Triple
T13537092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U5 |
E323287
|
entity |
| Predicate | connectsAtStation |
P21403
|
FINISHED |
| Object | Hauptbahnhof |
unclear NED1
|
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: Hauptbahnhof | Statement: [U5, connectsAtStation, Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hauptbahnhof Context triple: [U5, connectsAtStation, Hauptbahnhof]
-
A.
Hauptbahnhof station
Hauptbahnhof station is Berlin’s central railway hub, serving as the city’s main long-distance, regional, and local train interchange.
-
B.
Bern Hauptbahnhof
Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
-
C.
Kiel Hauptbahnhof
Kiel Hauptbahnhof is the main railway station and central transportation hub serving the port city of Kiel in northern Germany.
-
D.
Westkreuz station
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.
-
E.
Witten Hauptbahnhof
Witten Hauptbahnhof is the main railway station serving the city of Witten in North Rhine-Westphalia, Germany, providing regional and local train connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78adaf62c8190855df932eb9830be |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:45 p.m.