Triple
T2467600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemnitz–Aue railway |
E55288
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Chemnitz Hauptbahnhof |
E9646
|
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: Chemnitz Hauptbahnhof | Statement: [Chemnitz–Aue railway, hasTerminus, Chemnitz Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chemnitz Hauptbahnhof Context triple: [Chemnitz–Aue railway, hasTerminus, Chemnitz Hauptbahnhof]
-
A.
Chemnitz Hauptbahnhof
chosen
Chemnitz Hauptbahnhof is the main railway station and central transportation hub of the city of Chemnitz in Saxony, Germany.
-
B.
Chemnitz Zentralhaltestelle
Chemnitz Zentralhaltestelle is the main central public transport hub in Chemnitz, Germany, where numerous tram and bus lines intersect.
-
C.
Dresden Hauptbahnhof
Dresden Hauptbahnhof is the main central railway station of Dresden, Germany, serving as a major regional and long-distance transport hub.
-
D.
Dresden-Neustadt station
Dresden-Neustadt station is a major railway hub in the Neustadt district of Dresden, Germany, serving regional and long-distance train services.
-
E.
Gera Hauptbahnhof
Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd13310a8819095fd70672f933aa3 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f86a1bc8190af02a1109ccf0773 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:44 p.m.