Triple
T18904945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höllentalbahn |
E462435
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | DB Netz network |
—
|
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: DB Netz network | Statement: [Höllentalbahn, partOf, DB Netz network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DB Netz network Context triple: [Höllentalbahn, partOf, DB Netz network]
-
A.
DB Netz
DB Netz is the infrastructure division of Deutsche Bahn responsible for operating and maintaining Germany’s national railway network.
-
B.
Netze
Netze is the German name for the Noteć, a river in north-central Poland that is a tributary of the Warta.
-
C.
DB Netz AG
chosen
DB Netz AG is a subsidiary of Deutsche Bahn responsible for operating and maintaining Germany’s national railway infrastructure network.
-
D.
TNET
TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
-
E.
BNetzA
BNetzA is Germany’s federal regulatory authority overseeing electricity, gas, telecommunications, postal services, and railway infrastructure markets.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52c121c8190a2057b99c723694b |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.