Triple
T19492615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gottmadingen |
E487688
|
entity |
| Predicate | hasMunicipalPart |
P84684
|
FINISHED |
| Object |
Randegg
Randegg is a village in the German state of Baden-Württemberg that forms part of the municipality of Gottmadingen near the Swiss border.
|
E1387245
|
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: Randegg | Statement: [Gottmadingen, hasMunicipalPart, Randegg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randegg Context triple: [Gottmadingen, hasMunicipalPart, Randegg]
-
A.
Rüegsau
Rüegsau is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss village character.
-
B.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
-
C.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
-
D.
Vitznau
Vitznau is a picturesque Swiss lakeside village in the canton of Lucerne, known as a gateway to Mount Rigi and a popular destination for scenic tourism on Lake Lucerne.
-
E.
Eriswil
Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
- 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: Randegg Triple: [Gottmadingen, hasMunicipalPart, Randegg]
Generated description
Randegg is a village in the German state of Baden-Württemberg that forms part of the municipality of Gottmadingen near the Swiss border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randegg Target entity description: Randegg is a village in the German state of Baden-Württemberg that forms part of the municipality of Gottmadingen near the Swiss border.
-
A.
Rüegsau
Rüegsau is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss village character.
-
B.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
-
C.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
-
D.
Vitznau
Vitznau is a picturesque Swiss lakeside village in the canton of Lucerne, known as a gateway to Mount Rigi and a popular destination for scenic tourism on Lake Lucerne.
-
E.
Eriswil
Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07719e60a48190bf4c54af72900b87 |
completed | May 15, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_6a07780c685881909b3926b75baa01f2 |
completed | May 15, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0778c1cfb881909ab613cd4e125120 |
completed | May 15, 2026, 7:49 p.m. |
Created at: April 10, 2026, 1:39 p.m.