Triple
T17591220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungern |
E428451
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Lungerersee |
—
|
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: Lungerersee | Statement: [Lungern, locatedOn, Lungerersee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lungerersee Context triple: [Lungern, locatedOn, Lungerersee]
-
A.
Lungernsee
chosen
Lungernsee is a picturesque alpine lake in the canton of Obwalden, Switzerland, known for its turquoise waters, surrounding mountain scenery, and popular hiking and recreation opportunities.
-
B.
Bannwaldsee
Bannwaldsee is a scenic lake in the Ostallgäu region of Bavaria, Germany, known for its natural surroundings and recreational opportunities.
-
C.
Sämtisersee
Sämtisersee is a picturesque alpine lake in the Swiss Alpstein massif, known for its scenic hiking surroundings and traditional mountain pastures.
-
D.
Kochelsee
Kochelsee is a picturesque lake in Upper Bavaria, Germany, known for its alpine scenery and popular outdoor recreation opportunities.
-
E.
Zermützelsee
Zermützelsee is a lake in the Ostprignitz-Ruppin district of Brandenburg, 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.