Triple
T17367906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visp District |
E422231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ausserberg
Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
|
E1267157
|
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: Ausserberg | Statement: [Visp District, contains, Ausserberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ausserberg Context triple: [Visp District, contains, Ausserberg]
-
A.
Allersberg
Allersberg is a market town in the Roth district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
-
B.
Habach
Habach is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural character and Alpine foothill setting.
-
C.
Kohnstein
Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
-
D.
Eibenberg
Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, Germany.
-
E.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
- 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: Ausserberg Triple: [Visp District, contains, Ausserberg]
Generated description
Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ausserberg Target entity description: Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
-
A.
Allersberg
Allersberg is a market town in the Roth district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
-
B.
Habach
Habach is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural character and Alpine foothill setting.
-
C.
Kohnstein
Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
-
D.
Eibenberg
Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, Germany.
-
E.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a661fc08190a4c386125bddb16b |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7ed9e988190a60106a1a0f94210 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a886818881909f237f69c6d77f93 |
completed | May 11, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a9183410819083c8239e3ce38ea2 |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:44 a.m.