Triple
T10865109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goslar station |
E256506
|
entity |
| Predicate | servedByTrainOperator |
P20222
|
FINISHED |
| Object | DB Regio Nord |
E825241
|
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: DB Regio Nord | Statement: [Goslar station, servedByTrainOperator, DB Regio Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DB Regio Nord Context triple: [Goslar station, servedByTrainOperator, DB Regio Nord]
-
A.
DB Regio
DB Regio is a division of Germany’s national railway company that operates most of the country’s regional and local passenger train services.
-
B.
InterRegio
InterRegio is a category of medium- to long-distance passenger trains in several European countries that provides relatively fast regional connections between major cities and regions.
-
C.
RegioExpress
RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
-
D.
DB Regio Mitte
chosen
DB Regio Mitte is a regional division of Deutsche Bahn responsible for operating local and regional passenger train services in central Germany.
-
E.
Arvato
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516b2f148190adbacd35fc8c2056 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d5359c8190b46a6b817938eb67 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.