Triple
T21415371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunnen |
E528286
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Weggis |
E634668
|
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: Weggis | Statement: [Brunnen, hasNearbyPlace, Weggis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weggis Context triple: [Brunnen, hasNearbyPlace, Weggis]
-
A.
Weggis
chosen
Weggis is a picturesque lakeside resort town in central Switzerland, known for its mild climate, scenic views of the Alps, and tourism on the shores of Lake Lucerne.
-
B.
Wengen
Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
-
C.
Visp
Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
-
D.
Disentis
Disentis is a Swiss Alpine village in the canton of Graubünden known for its Benedictine monastery and access to extensive skiing and mountain sports.
-
E.
Bürgenstock
Bürgenstock is a Swiss mountain and luxury resort area overlooking Lake Lucerne, known for its panoramic views, historic hotels, and scenic hiking trails.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d16bfc8190a1c08dd9d0c80e02 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e81481f48190b4c1b1c32ae9141b |
completed | May 17, 2026, 4:08 p.m. |
Created at: April 16, 2026, 5:45 p.m.