Triple
T12055312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toggenburg |
E287025
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ebnat-Kappel
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.
|
E967314
|
NE FINISHED |
How this triple was built (4 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, contains, Ebnat-Kappel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebnat-Kappel Context triple: [Toggenburg, contains, Ebnat-Kappel]
-
A.
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.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
D.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
E.
Meisterschwanden
Meisterschwanden is a municipality in the Swiss canton of Aargau, known for its scenic location near Lake Hallwil and its rural, lakeside character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ebnat-Kappel Triple: [Toggenburg, contains, Ebnat-Kappel]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebnat-Kappel Target entity description: 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.
-
A.
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.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
D.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
E.
Meisterschwanden
Meisterschwanden is a municipality in the Swiss canton of Aargau, known for its scenic location near Lake Hallwil and its rural, lakeside character.
- F. None of above. chosen
Provenance (5 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64f40388190bfb3d2a81d5fbf5e |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:47 p.m.