Triple
T14731230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Solothurn |
E346078
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Hasenmatt
Hasenmatt is a mountain in the Jura range of Switzerland, notable as the highest peak in the canton of Solothurn.
|
E1117871
|
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: Hasenmatt | Statement: [canton of Solothurn, highestPoint, Hasenmatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasenmatt Context triple: [canton of Solothurn, highestPoint, Hasenmatt]
-
A.
Ruetz
Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
-
B.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
C.
Haslital
Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
- 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: Hasenmatt Triple: [canton of Solothurn, highestPoint, Hasenmatt]
Generated description
Hasenmatt is a mountain in the Jura range of Switzerland, notable as the highest peak in the canton of Solothurn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasenmatt Target entity description: Hasenmatt is a mountain in the Jura range of Switzerland, notable as the highest peak in the canton of Solothurn.
-
A.
Ruetz
Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
-
B.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
C.
Haslital
Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb89ea388190b356df74e36023f7 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfdd73dcc8190bd0340b2f2a2c54a |
completed | May 8, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfe70e03481909eb9a9bf863f826b |
completed | May 8, 2026, 3:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.