Triple
T20284342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Müritz |
E509836
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Kölpinsee |
—
|
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: Kölpinsee | Statement: [Müritz, connectedTo, Kölpinsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kölpinsee Context triple: [Müritz, connectedTo, Kölpinsee]
-
A.
Kölpinsee
chosen
Kölpinsee is a lake in the Mecklenburg Lake District of northeastern Germany, known for its natural landscapes and recreational boating and fishing.
-
B.
Pfäffikersee
Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
-
C.
Langer See
Langer See is a long, narrow lake in southeastern Berlin that forms part of the city’s interconnected Spree–Dahme waterway and is popular for boating and watersports.
-
D.
Murtensee
Murtensee is a picturesque lake in the canton of Fribourg in western Switzerland, known for its medieval lakeside town of Murten and popular recreational activities.
-
E.
Beidersee
Beidersee is a village in the Saalekreis district of Saxony-Anhalt, Germany, that forms part of the town of Wettin-Löbejün.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67691516c81909f32b176edb6214c |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:56 a.m.