Triple
T16156420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittelrhein |
E392054
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Leutesdorf
Leutesdorf is a wine-growing village on the Rhine River in western Germany, known for its scenic vineyards and historic charm.
|
E1224270
|
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: Leutesdorf | Statement: [Mittelrhein, hasTown, Leutesdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leutesdorf Context triple: [Mittelrhein, hasTown, Leutesdorf]
-
A.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
B.
Althüttendorf
Althüttendorf is a small rural municipality in the Barnim district of Brandenburg in northeastern Germany.
-
C.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
D.
Seifhennersdorf
Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
-
E.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
- 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: Leutesdorf Triple: [Mittelrhein, hasTown, Leutesdorf]
Generated description
Leutesdorf is a wine-growing village on the Rhine River in western Germany, known for its scenic vineyards and historic charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leutesdorf Target entity description: Leutesdorf is a wine-growing village on the Rhine River in western Germany, known for its scenic vineyards and historic charm.
-
A.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
B.
Althüttendorf
Althüttendorf is a small rural municipality in the Barnim district of Brandenburg in northeastern Germany.
-
C.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
D.
Seifhennersdorf
Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
-
E.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5aa57c8190a9d89dd57e30318f |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d9849a08190a575f19e816e6df2 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007ec876ac8190afae26442f8b2a9a |
completed | May 10, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f3bf6e081908554238d069d9abc |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 10, 2026, 5:01 a.m.