Triple
T21286943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gera–Gößnitz railway |
E524686
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Gößnitz |
—
|
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: Gößnitz | Statement: [Gera–Gößnitz railway, endPoint, Gößnitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gößnitz Context triple: [Gera–Gößnitz railway, endPoint, Gößnitz]
-
A.
Gößnitz
chosen
Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
-
B.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
-
C.
Schemnitz
Schemnitz is the historical German name for Banská Štiavnica, a renowned medieval mining town in central Slovakia.
-
D.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
-
E.
Harrachsdorf
Harrachsdorf is the German name for Harrachov, a mountain town and ski resort in the Krkonoše (Giant) Mountains of the Czech Republic.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d717c88190950bd48058912b65 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.