Triple
T10142838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseninsel |
E231627
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Wörth
Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
|
E910917
|
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: Wörth | Statement: [Roseninsel, alsoKnownAs, Wörth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wörth Context triple: [Roseninsel, alsoKnownAs, Wörth]
-
A.
Wörth an der Isar
Wörth an der Isar is a small municipality in Lower Bavaria, Germany, situated on the river Isar and characterized by its rural setting and proximity to the city of Landshut.
-
B.
Wörth an der Donau
Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
-
C.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
-
D.
Wolfratshausen
Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
-
E.
Donauwörth
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
- 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: Wörth Triple: [Roseninsel, alsoKnownAs, Wörth]
Generated description
Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wörth Target entity description: Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
-
A.
Wörth an der Isar
Wörth an der Isar is a small municipality in Lower Bavaria, Germany, situated on the river Isar and characterized by its rural setting and proximity to the city of Landshut.
-
B.
Wörth an der Donau
Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
-
C.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
-
D.
Wolfratshausen
Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
-
E.
Donauwörth
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb273fec8190818707167e031d58 |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4963545f481909ecc360480b1fc37 |
completed | April 19, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: March 30, 2026, 9:07 p.m.