Triple
T9353083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgaden National Park |
E225064
|
entity |
| Predicate | mainRiver |
P165
|
FINISHED |
| Object | Königsseer Ache |
E229253
|
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: Königsseer Ache | Statement: [Berchtesgaden National Park, mainRiver, Königsseer Ache]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Königsseer Ache Context triple: [Berchtesgaden National Park, mainRiver, Königsseer Ache]
-
A.
Königsseer Ache
chosen
Königsseer Ache is a river in Bavaria, Germany, that drains the alpine lake Königssee and flows northward toward the Berchtesgadener Ache.
-
B.
Gebesee
Gebesee is a small town in the German state of Thuringia, situated near the confluence of the Unstrut and Gera rivers and known for its agricultural surroundings.
-
C.
Geiseltalsee
Geiseltalsee is a large artificial lake in Saxony-Anhalt, Germany, created by flooding a former lignite mining area and now used for recreation and nature conservation.
-
D.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
E.
Ziegelsee
Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9515008190b01fbb43d673de2a |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1220b4be48190aecba672fd10d035 |
completed | April 4, 2026, 2:36 p.m. |
Created at: March 30, 2026, 7:41 p.m.