Triple
T17858208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesselberg |
E445995
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object |
Wassertrüdingen
Wassertrüdingen is a small Bavarian town in southern Germany known for its proximity to the Hesselberg and its scenic Franconian countryside.
|
E1292812
|
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: Wassertrüdingen | Statement: [Hesselberg, nearestTown, Wassertrüdingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wassertrüdingen Context triple: [Hesselberg, nearestTown, Wassertrüdingen]
-
A.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
B.
Eifgenbach
Eifgenbach is a small river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Wupper.
-
C.
Meimsheim
Meimsheim is a village in the municipality of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
D.
Kleinheubach
Kleinheubach is a small market town in Lower Franconia, Bavaria, Germany, known for its historic noble residences and riverside setting along the Main.
-
E.
Königsbrunn
Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
- 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: Wassertrüdingen Triple: [Hesselberg, nearestTown, Wassertrüdingen]
Generated description
Wassertrüdingen is a small Bavarian town in southern Germany known for its proximity to the Hesselberg and its scenic Franconian countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wassertrüdingen Target entity description: Wassertrüdingen is a small Bavarian town in southern Germany known for its proximity to the Hesselberg and its scenic Franconian countryside.
-
A.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
B.
Eifgenbach
Eifgenbach is a small river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Wupper.
-
C.
Meimsheim
Meimsheim is a village in the municipality of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
D.
Kleinheubach
Kleinheubach is a small market town in Lower Franconia, Bavaria, Germany, known for its historic noble residences and riverside setting along the Main.
-
E.
Königsbrunn
Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978e68ec8190a4306f7b7bb058d7 |
completed | April 19, 2026, 8:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c640bb881909fea3f07e5a30f7a |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a03102824a081909f7e6253f067f9ec |
completed | May 12, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0310bc396881908988dd6e776ecc23 |
completed | May 12, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:17 a.m.