Triple
T20481921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB Class 430 |
E502475
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | S-Bahn Stuttgart |
—
|
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: S-Bahn Stuttgart | Statement: [DB Class 430, operator, S-Bahn Stuttgart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S-Bahn Stuttgart Context triple: [DB Class 430, operator, S-Bahn Stuttgart]
-
A.
Stuttgart S-Bahn
chosen
The Stuttgart S-Bahn is a rapid transit and commuter rail network serving Stuttgart and its surrounding region in the German state of Baden-Württemberg.
-
B.
Stuttgart Stadtbahn
The Stuttgart Stadtbahn is a light rail and tram system serving the city of Stuttgart and its surrounding metropolitan area in Germany.
-
C.
Stadtbahn Rhein-Neckar
Stadtbahn Rhein-Neckar is a regional light rail and tram-train network serving the Rhine-Neckar metropolitan area in southwestern Germany, connecting cities such as Mannheim, Ludwigshafen, and Heidelberg.
-
D.
S-Bahn
The S-Bahn is a German urban and suburban rapid transit rail system that connects city centers with surrounding metropolitan regions.
-
E.
Munich S-Bahn
The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.