Triple
T9540654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regen (district) |
E230146
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bayerisch Eisenstein |
E320180
|
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: Bayerisch Eisenstein | Statement: [Regen (district), contains, Bayerisch Eisenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayerisch Eisenstein Context triple: [Regen (district), contains, Bayerisch Eisenstein]
-
A.
Bayerisch Eisenstein
chosen
Bayerisch Eisenstein is a Bavarian village in the Bavarian Forest known for its unique railway station that straddles the German-Czech border and serves as a key cross-border transit point.
-
B.
Bad Füssing
Bad Füssing is a German spa town in Bavaria renowned for its thermal baths and health tourism.
-
C.
Bad Aussee
Bad Aussee is a historic spa town in Austria’s Salzkammergut region, known for its alpine scenery, salt-mining heritage, and traditional Austrian culture.
-
D.
Bad Schönau
Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
-
E.
Olbernhau
Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.