Triple
T11869234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwyz |
E282362
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Freienbach
Freienbach is a municipality in the Swiss canton of Schwyz, located on the shores of Lake Zurich and known for its favorable tax environment.
|
E989921
|
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: Freienbach | Statement: [Schwyz, hasMunicipality, Freienbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freienbach Context triple: [Schwyz, hasMunicipality, Freienbach]
-
A.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
-
B.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Essenbach
Essenbach is a municipality in Lower Bavaria, Germany, known for its proximity to the city of Landshut and its mix of rural character and industrial facilities.
- 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: Freienbach Triple: [Schwyz, hasMunicipality, Freienbach]
Generated description
Freienbach is a municipality in the Swiss canton of Schwyz, located on the shores of Lake Zurich and known for its favorable tax environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freienbach Target entity description: Freienbach is a municipality in the Swiss canton of Schwyz, located on the shores of Lake Zurich and known for its favorable tax environment.
-
A.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
-
B.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Essenbach
Essenbach is a municipality in Lower Bavaria, Germany, known for its proximity to the city of Landshut and its mix of rural character and industrial facilities.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73c04e4819084c0b2ff8e5d2f04 |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655515be48190a0793eef7b016852 |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65799ca588190b9f7a07f5c1a842c |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:43 p.m.