Triple
T13017587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorderrhein |
E322591
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Disentis/Mustér |
E409968
|
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: Disentis/Mustér | Statement: [Vorderrhein, flowsNear, Disentis/Mustér]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disentis/Mustér Context triple: [Vorderrhein, flowsNear, Disentis/Mustér]
-
A.
Disentis/Mustér
chosen
Disentis/Mustér is a bilingual (Romansh and German) mountain village and municipality in the Swiss canton of Graubünden, known for its Benedictine monastery and role as a regional transport hub in the Alps.
-
B.
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.
-
C.
Schinznach-Bad
Schinznach-Bad is a small Swiss spa municipality in the canton of Aargau, known for its thermal baths and scenic location along the Aare River.
-
D.
Weggis
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.
-
E.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc98e10819091d71198bca1ac12 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:51 p.m.