Triple
T17407394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemberg (Swabian Jura) |
E423254
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Gosheim
Gosheim is a municipality in the Tuttlingen district of Baden-Württemberg, Germany, situated in the Swabian Jura region.
|
E1287550
|
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: Gosheim | Statement: [Lemberg (Swabian Jura), locatedNear, Gosheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gosheim Context triple: [Lemberg (Swabian Jura), locatedNear, Gosheim]
-
A.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
B.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
-
C.
Bergheim
Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
-
D.
Bergheim
Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
-
E.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
- 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: Gosheim Triple: [Lemberg (Swabian Jura), locatedNear, Gosheim]
Generated description
Gosheim is a municipality in the Tuttlingen district of Baden-Württemberg, Germany, situated in the Swabian Jura region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gosheim Target entity description: Gosheim is a municipality in the Tuttlingen district of Baden-Württemberg, Germany, situated in the Swabian Jura region.
-
A.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
B.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
-
C.
Bergheim
Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
-
D.
Bergheim
Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
-
E.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b081ae08190b144e333a3a74b02 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82126088190ac22448639dafd35 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f8ba9f3c8190adf8ca9b8a7295a0 |
completed | May 12, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f97d8c9081908ecaba1ffdb07332 |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:45 a.m.