Triple
T12215270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toggenburg valley |
E291065
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ebnat-Kappel |
E967314
|
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: Ebnat-Kappel | Statement: [Toggenburg valley, hasSettlement, Ebnat-Kappel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebnat-Kappel Context triple: [Toggenburg valley, hasSettlement, Ebnat-Kappel]
-
A.
Ebnat-Kappel
chosen
Ebnat-Kappel is a municipality in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and outdoor recreation.
-
B.
Kappel am Albis
Kappel am Albis is a municipality in the canton of Zurich, Switzerland, historically known as the site of the 1531 Battle of Kappel where reformer Huldrych Zwingli was killed.
-
C.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
D.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
E.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5882408190b4853f3a11c249c2 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.