Triple
T17515458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorze |
E426555
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Risch, Zug
Risch is a municipality in the canton of Zug in central Switzerland, known for its lakeside location on Lake Zug and its mix of rural and residential areas.
|
E1273727
|
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: Risch, Zug | Statement: [Lorze, passesNear, Risch, Zug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Risch, Zug Context triple: [Lorze, passesNear, Risch, Zug]
-
A.
Fischer
Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
B.
Fischer
Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
-
C.
Schäffer
Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
-
D.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
E.
Fischer Scherz
Fischer Scherz is a German publishing imprint of S. Fischer Verlag, known for its popular fiction and crime literature titles.
- 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: Risch, Zug Triple: [Lorze, passesNear, Risch, Zug]
Generated description
Risch is a municipality in the canton of Zug in central Switzerland, known for its lakeside location on Lake Zug and its mix of rural and residential areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Risch, Zug Target entity description: Risch is a municipality in the canton of Zug in central Switzerland, known for its lakeside location on Lake Zug and its mix of rural and residential areas.
-
A.
Fischer
Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
B.
Fischer
Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
-
C.
Schäffer
Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
-
D.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
E.
Fischer Scherz
Fischer Scherz is a German publishing imprint of S. Fischer Verlag, known for its popular fiction and crime literature titles.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c93ede288190af2fd8ae8826a855 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca84f3388190aa2eda694f91a17b |
completed | May 11, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cb0b3cec8190afc6cf6dd1e4d896 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.