Triple
T21180298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gera tram network |
E521929
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Gera railway stations |
—
|
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: Gera railway stations | Statement: [Gera tram network, connects, Gera railway stations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gera railway stations Context triple: [Gera tram network, connects, Gera railway stations]
-
A.
Gera Hauptbahnhof
chosen
Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
-
B.
Gersfeld railway station
Gersfeld railway station is a local train station serving the town of Gersfeld in the Rhön region of Hesse, Germany.
-
C.
Eisenach station
Eisenach station is a major railway hub in the German state of Thuringia, serving regional and long-distance passenger services for the town of Eisenach.
-
D.
Gotha railway station
Gotha railway station is the main rail transport hub serving the town of Gotha in Thuringia, Germany, providing regional and long-distance train connections.
-
E.
Gießen railway station
Gießen railway station is the main rail hub of the city of Gießen in Hesse, Germany, serving regional and long-distance passenger services.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301c842c8190b969a8b3f194003a |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:01 p.m.