Triple
T19786606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheintal (St. Gallen Rhine Valley) |
E475285
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Marbach SG
Marbach SG is a municipality in the Swiss canton of St. Gallen, situated in the Rhine Valley near the border with Austria.
|
E1414153
|
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: Marbach SG | Statement: [Rheintal (St. Gallen Rhine Valley), contains, Marbach SG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marbach SG Context triple: [Rheintal (St. Gallen Rhine Valley), contains, Marbach SG]
-
A.
Arlesheim
Arlesheim is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its historic cathedral and picturesque setting near Basel.
-
B.
Kilchberg
Kilchberg is a municipality on the shores of Lake Zurich in Switzerland, known for its scenic residential character and as the home of the Lindt & Sprüngli chocolate factory.
-
C.
Pfäfflingen
Pfäfflingen is a small village and district of the town Nördlingen in the Donau-Ries district of Bavaria, Germany.
-
D.
Bäretswil
Bäretswil is a rural municipality in the canton of Zurich in Switzerland, known for its scenic pre-Alpine landscape and small-village character.
-
E.
Ruswil
Ruswil is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and agricultural landscape.
- 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: Marbach SG Triple: [Rheintal (St. Gallen Rhine Valley), contains, Marbach SG]
Generated description
Marbach SG is a municipality in the Swiss canton of St. Gallen, situated in the Rhine Valley near the border with Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marbach SG Target entity description: Marbach SG is a municipality in the Swiss canton of St. Gallen, situated in the Rhine Valley near the border with Austria.
-
A.
Arlesheim
Arlesheim is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its historic cathedral and picturesque setting near Basel.
-
B.
Kilchberg
Kilchberg is a municipality on the shores of Lake Zurich in Switzerland, known for its scenic residential character and as the home of the Lindt & Sprüngli chocolate factory.
-
C.
Pfäfflingen
Pfäfflingen is a small village and district of the town Nördlingen in the Donau-Ries district of Bavaria, Germany.
-
D.
Bäretswil
Bäretswil is a rural municipality in the canton of Zurich in Switzerland, known for its scenic pre-Alpine landscape and small-village character.
-
E.
Ruswil
Ruswil is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and agricultural landscape.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65387d3348190a31f9c2f9bc1c6d9 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0834545e1c81908bf32a30663202ae |
completed | May 16, 2026, 9:09 a.m. |
| NEDg | Description generation | batch_6a08353703b88190b8eef21650bad944 |
completed | May 16, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0835c4c9f48190b4d568814729a7ca |
completed | May 16, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:49 p.m.