Triple
T18127944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weißenburg-Gunzenhausen district |
E433929
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object | Brombachsee |
—
|
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: Brombachsee | Statement: [Weißenburg-Gunzenhausen district, containsLake, Brombachsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brombachsee Context triple: [Weißenburg-Gunzenhausen district, containsLake, Brombachsee]
-
A.
Brombachsee
chosen
Brombachsee is a large artificial lake in Bavaria, Germany, popular for recreation, water sports, and tourism.
-
B.
Spitzingsee
Spitzingsee is a picturesque alpine lake in Bavaria, Germany, popular for hiking, skiing, and other outdoor recreation in the surrounding mountains.
-
C.
Bernsteinsee
Bernsteinsee is a lake in the Wandlitz area of Brandenburg, Germany, known for its clear waters and recreational beaches.
-
D.
Würmsee
Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
-
E.
Bannwaldsee
Bannwaldsee is a scenic lake in the Ostallgäu region of Bavaria, Germany, known for its natural surroundings and recreational opportunities.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.