Triple
T23014939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetzlarer Bahn |
E573004
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Gießen station |
—
|
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: Gießen station | Statement: [Wetzlarer Bahn, hasStation, Gießen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gießen station Context triple: [Wetzlarer Bahn, hasStation, Gießen station]
-
A.
Gießen railway station
chosen
Gießen railway station is the main rail hub of the city of Gießen in Hesse, Germany, serving regional and long-distance passenger services.
-
B.
Heppenheim station
Heppenheim station is a regional railway station in the town of Heppenheim in Hesse, Germany, serving as a stop on important local and intercity rail routes.
-
C.
Frankfurt-Sindlingen station
Frankfurt-Sindlingen station is a local railway station in the Sindlingen district of Frankfurt am Main, Germany, serving regional and S-Bahn commuter rail services.
-
D.
Frankfurt-Zeilsheim station
Frankfurt-Zeilsheim station is a local railway stop in the Zeilsheim district of Frankfurt am Main, Germany, serving regional commuter traffic.
-
E.
Suhl station
Suhl station is the main railway station serving the city of Suhl in Thuringia, Germany, providing regional and intercity train connections.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e3c0e08190a7ac747b056ec3ca |
completed | April 29, 2026, 4:06 a.m. |
Created at: April 17, 2026, 3:51 p.m.