Triple
T17845779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zihl River |
E445654
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Lake Morat |
—
|
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: Lake Morat | Statement: [Zihl River, connects, Lake Morat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Morat Context triple: [Zihl River, connects, Lake Morat]
-
A.
Lake Morat
chosen
Lake Morat is a small glacial lake on the Swiss Plateau, known for its scenic vineyards, medieval lakeside town of Murten/Morat, and popular recreational activities such as swimming, sailing, and cycling.
-
B.
Lake Molveno
Lake Molveno is a picturesque alpine lake in northern Italy, renowned for its clear waters and scenic mountain surroundings.
-
C.
Rupanco Lake
Rupanco Lake is a scenic glacial lake in Chile’s Los Lagos Region, known for its clear waters, surrounding volcanoes, and popularity for fishing and outdoor recreation.
-
D.
Lake Silvaplana
Lake Silvaplana is a scenic alpine lake in Switzerland’s Upper Engadine region, renowned for its windsurfing, kitesurfing, and picturesque mountain surroundings.
-
E.
Slano Lake
Slano Lake is an artificial reservoir near Nikšić in Montenegro, known for its rugged karst landscape and use in hydroelectric power production.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffa4c648190a88a4b0733493d91 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.