Triple
T6605898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Ostkreuz |
E149116
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Deutsche Bahn |
E22662
|
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: Deutsche Bahn | Statement: [Berlin Ostkreuz, ownedBy, Deutsche Bahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deutsche Bahn Context triple: [Berlin Ostkreuz, ownedBy, Deutsche Bahn]
-
A.
Deutsche Bahn
chosen
Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
-
B.
Deutsche Reichsbahn
Deutsche Reichsbahn was the state-owned railway company of Germany for much of the 20th century, operating the national rail network before its functions were absorbed into the modern Deutsche Bahn.
-
C.
Südostbahn
Südostbahn is a Swiss railway company that operates regional and suburban train services, including lines within the Zürich S-Bahn network.
-
D.
ÖBB
ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
-
E.
Abellio Rail Mitteldeutschland
Abellio Rail Mitteldeutschland is a German regional railway operator providing passenger train services in the central Germany area.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af143d5c8190b62602602510b1cb |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbaafed8819096423d47dd4375a7 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:56 p.m.