Triple
T9146461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münsing |
E219467
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
|
E786610
|
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: Widdersberg | Statement: [Münsing, hasSubdivision, Widdersberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widdersberg Context triple: [Münsing, hasSubdivision, Widdersberg]
-
A.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
D.
Ringgenberg
Ringgenberg is a picturesque Swiss village in the canton of Bern, known for its historic church and scenic location in the Bernese Oberland near Interlaken.
-
E.
Lutterberg
Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
- 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: Widdersberg Triple: [Münsing, hasSubdivision, Widdersberg]
Generated description
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Widdersberg Target entity description: Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
A.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
D.
Ringgenberg
Ringgenberg is a picturesque Swiss village in the canton of Bern, known for its historic church and scenic location in the Bernese Oberland near Interlaken.
-
E.
Lutterberg
Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca917914c8190b97ca9169bbd1e5e |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07761b32c81909b57c872485a3591 |
completed | April 4, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69d07990e6cc81908361f48cc8556b2d |
completed | April 4, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07a0182a08190902119c3cbf6e19d |
completed | April 4, 2026, 2:40 a.m. |
Created at: March 30, 2026, 7:20 p.m.