Triple
T2898124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aare |
E62590
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Meiringen
Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
|
E312759
|
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: Meiringen | Statement: [Aare, flowsThrough, Meiringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meiringen Context triple: [Aare, flowsThrough, Meiringen]
-
A.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
B.
Kandersteg
Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
-
C.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
-
D.
Saas-Fee
Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
-
E.
Muttenz
Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
- 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: Meiringen Triple: [Aare, flowsThrough, Meiringen]
Generated description
Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meiringen Target entity description: Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
-
A.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
B.
Kandersteg
Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
-
C.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
-
D.
Saas-Fee
Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
-
E.
Muttenz
Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe08fe3248190a6bb7de2a2c317b1 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b086531854819086ec55f2269c96e0 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0ea9a847c8190b87ede721529c094 |
completed | March 11, 2026, 4:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0eaf8b258819094b8d156b4d8cf16 |
completed | March 11, 2026, 4:09 a.m. |
Created at: March 6, 2026, 10:10 p.m.