Triple
T2849748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seeland region |
E63063
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Murten |
E108809
|
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: Lake Murten | Statement: [Seeland region, hasLake, Lake Murten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Murten Context triple: [Seeland region, hasLake, Lake Murten]
-
A.
Lake Murten
chosen
Lake Murten is a small glacial lake in western Switzerland, known for its scenic shores, mild climate, and location between the Jura Mountains and the Alps.
-
B.
Lake Sempach
Lake Sempach is a small lake in central Switzerland, known for its scenic surroundings, birdlife, and recreational activities such as swimming and boating.
-
C.
Lake Thun
Lake Thun is a large alpine lake in the Bernese Oberland region of Switzerland, renowned for its scenic mountain backdrop, historic lakeside towns, and popular boating and water sports.
-
D.
Lake Baldegg
Lake Baldegg is a small glacial lake in central Switzerland known for its scenic surroundings and role in regional recreation and nature conservation.
-
E.
Bütgenbach Lake
Bütgenbach Lake is an artificial reservoir in eastern Belgium known for its recreational activities such as swimming, sailing, and hiking along its scenic shores.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf41ac24819087c5b72e3b84117c |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba8e6b081908866127ff3da46e0 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 6, 2026, 10:02 p.m.