Triple
T7716226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sautter |
E174891
|
entity |
| Predicate | hasAlternativeTransliteration |
P5923
|
FINISHED |
| Object |
Sütter
Sütter is an alternative transliteration of the surname Sautter, typically of German origin.
|
E684830
|
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: Sütter | Statement: [Sautter, hasAlternativeTransliteration, Sütter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sütter Context triple: [Sautter, hasAlternativeTransliteration, Sütter]
-
A.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
B.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
-
C.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
D.
Eggersriet
Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
-
E.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, 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: Sütter Triple: [Sautter, hasAlternativeTransliteration, Sütter]
Generated description
Sütter is an alternative transliteration of the surname Sautter, typically of German origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sütter Target entity description: Sütter is an alternative transliteration of the surname Sautter, typically of German origin.
-
A.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
B.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
-
C.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
D.
Eggersriet
Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
-
E.
Nischel
Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cd0ddc8190aa23d998f55d0bd6 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b50cf3208190af9bb2d4126d381b |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b7d8b4b081908f8739a91e96e6ec |
completed | March 29, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b845194c8190b65257cc02b09e6c |
completed | March 29, 2026, 5:27 a.m. |
Created at: March 27, 2026, 4:04 p.m.