Triple
T15538801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogtlandkreis |
E370419
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Falkenstein/Vogtl. |
E310954
|
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: Falkenstein/Vogtl. | Statement: [Vogtlandkreis, contains, Falkenstein/Vogtl.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falkenstein/Vogtl. Context triple: [Vogtlandkreis, contains, Falkenstein/Vogtl.]
-
A.
Falkenstein (Vogtland)
chosen
Falkenstein (Vogtland) is a small town in the Vogtland region of Saxony, Germany, known for its historic architecture and scenic surroundings.
-
B.
Falkenstein/Harz
Falkenstein/Harz is a small town in the German state of Saxony-Anhalt, known for its historic Falkenstein Castle and its location in the scenic Harz region.
-
C.
Falkenstein
Falkenstein is a district of the spa town Königstein im Taunus in Hesse, Germany, known for its scenic location in the Taunus mountains and historic castle ruins.
-
D.
Vohburg an der Donau
Vohburg an der Donau is a small Bavarian town on the Danube River in southern Germany.
-
E.
Falkenberg/Elster
Falkenberg/Elster is a town in the state of Brandenburg in eastern Germany, known historically as a regional railway junction.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d626e688190bd93481cfd6cb255 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:07 a.m.