Triple
T12239090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markranstädt |
E291679
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kulkwitzer See |
E980754
|
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: Kulkwitzer See | Statement: [Markranstädt, locatedNear, Kulkwitzer See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kulkwitzer See Context triple: [Markranstädt, locatedNear, Kulkwitzer See]
-
A.
Kulkwitzer See
chosen
Kulkwitzer See is a popular lake and leisure area in Saxony, Germany, known for swimming, diving, and other outdoor recreational activities.
-
B.
Zwenkauer See
Zwenkauer See is a large artificial lake in Saxony, Germany, created by flooding a former open-cast lignite mine and now used as a recreational and nature area near the town of Zwenkau.
-
C.
Kettwiger See
Kettwiger See is a reservoir on the Ruhr River in North Rhine-Westphalia, Germany, used for water management, recreation, and local energy production.
-
D.
Segeberger See
Segeberger See is a lake in Schleswig-Holstein, northern Germany, known for its scenic surroundings and proximity to the town of Bad Segeberg.
-
E.
Ostorfer See
Ostorfer See is a lake in the German state of Mecklenburg-Vorpommern, forming part of the lake landscape around the city of Schwerin.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eea69448190b5c57a74f4d20dca |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:51 p.m.