Triple
T20016396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scharner (Staffelsee) |
E494729
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Scharner
Scharner is a small settlement or locality situated near Lake Staffelsee in Bavaria, Germany.
|
E1407100
|
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: Scharner | Statement: [Scharner (Staffelsee), hasName, Scharner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scharner Context triple: [Scharner (Staffelsee), hasName, Scharner]
-
A.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
B.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
C.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
D.
Haslinger
Haslinger is a German-language surname borne by various notable individuals, including artists and composers.
-
E.
Schrozberg
Schrozberg is a small town in the German state of Baden-Württemberg known for its rural character and historic buildings.
- 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: Scharner Triple: [Scharner (Staffelsee), hasName, Scharner]
Generated description
Scharner is a small settlement or locality situated near Lake Staffelsee in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scharner Target entity description: Scharner is a small settlement or locality situated near Lake Staffelsee in Bavaria, Germany.
-
A.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
B.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
-
C.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
D.
Haslinger
Haslinger is a German-language surname borne by various notable individuals, including artists and composers.
-
E.
Schrozberg
Schrozberg is a small town in the German state of Baden-Württemberg known for its rural character and historic buildings.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623cb8188190b95913ffed895930 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e25511081909f4bd039531c30ec |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f164ed88190be61cb4637b2c626 |
completed | May 16, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f8bb81c819098d39ad6e1642aa8 |
completed | May 16, 2026, 6:32 a.m. |
Created at: April 11, 2026, 3:34 p.m.