Triple
T17583791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessbach Falls |
E428267
|
entity |
| Predicate | touristRegion |
P3030
|
FINISHED |
| Object | Lake Brienz region |
—
|
NE NERFINISHED |
How this triple was built (3 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 Brienz region | Statement: [Giessbach Falls, touristRegion, Lake Brienz region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Brienz region Context triple: [Giessbach Falls, touristRegion, Lake Brienz region]
-
A.
Lake Thun region
The Lake Thun region is a scenic area in the Bernese Oberland of Switzerland, known for its deep blue lake, surrounding Alpine peaks, and popular resort towns such as Thun and Spiez.
-
B.
Lake Biel region
The Lake Biel region is a scenic area in western Switzerland known for its namesake lake, vineyards, and hillside villages connected by transport links such as the Ligerz–Prêles funicular.
-
C.
Lake Zürich region
The Lake Zürich region is a scenic area in the Swiss canton of Zürich encompassing the shores and surrounding communities of Lake Zürich, known for its affluent suburbs, recreational opportunities, and views of the Alps.
-
D.
Lake Lucerne region
The Lake Lucerne region is a scenic central Swiss area of lakes, mountains, and historic towns that serves as a major tourist destination for outdoor recreation and cultural experiences.
-
E.
Zugersee basin
The Zugersee basin is the lake-filled valley surrounding Lake Zug in central Switzerland, known for its scenic waters, steep surrounding hills, and views from nearby mountains such as Zugerberg.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Brienz region Target entity description: The Lake Brienz region is a scenic area in Switzerland’s Bernese Oberland known for its turquoise lake, surrounding alpine mountains, and popular natural attractions such as waterfalls and hiking trails.
-
A.
Lake Thun region
The Lake Thun region is a scenic area in the Bernese Oberland of Switzerland, known for its deep blue lake, surrounding Alpine peaks, and popular resort towns such as Thun and Spiez.
-
B.
Lake Biel region
The Lake Biel region is a scenic area in western Switzerland known for its namesake lake, vineyards, and hillside villages connected by transport links such as the Ligerz–Prêles funicular.
-
C.
Lake Zürich region
The Lake Zürich region is a scenic area in the Swiss canton of Zürich encompassing the shores and surrounding communities of Lake Zürich, known for its affluent suburbs, recreational opportunities, and views of the Alps.
-
D.
Lake Lucerne region
The Lake Lucerne region is a scenic central Swiss area of lakes, mountains, and historic towns that serves as a major tourist destination for outdoor recreation and cultural experiences.
-
E.
Zugersee basin
The Zugersee basin is the lake-filled valley surrounding Lake Zug in central Switzerland, known for its scenic waters, steep surrounding hills, and views from nearby mountains such as Zugerberg.
- F. None of above. chosen
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_69e463d015fc8190b2dd897026d6fcb5 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.