Triple
T16124974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichach-Friedberg |
E391244
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Bachern am Wörthsee
Bachern am Wörthsee is a small Bavarian village located near Lake Wörthsee in southern Germany.
|
E1196032
|
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: Bachern am Wörthsee | Statement: [Aichach-Friedberg, hasMunicipality, Bachern am Wörthsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bachern am Wörthsee Context triple: [Aichach-Friedberg, hasMunicipality, Bachern am Wörthsee]
-
A.
Langweid am Lech
Langweid am Lech is a municipality in Bavaria, Germany, situated on the river Lech north of the city of Augsburg.
-
B.
Bad Waldsee
Bad Waldsee is a historic spa town in the German state of Baden-Württemberg, known for its thermal baths and picturesque old town.
-
C.
Bad Wiessee
Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
-
D.
Inning am Ammersee
Inning am Ammersee is a Bavarian municipality in southern Germany located on the shores of Lake Ammersee, known for its lakeside setting and proximity to Munich.
-
E.
Steinwiesen
Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural character.
- 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: Bachern am Wörthsee Triple: [Aichach-Friedberg, hasMunicipality, Bachern am Wörthsee]
Generated description
Bachern am Wörthsee is a small Bavarian village located near Lake Wörthsee in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bachern am Wörthsee Target entity description: Bachern am Wörthsee is a small Bavarian village located near Lake Wörthsee in southern Germany.
-
A.
Langweid am Lech
Langweid am Lech is a municipality in Bavaria, Germany, situated on the river Lech north of the city of Augsburg.
-
B.
Bad Waldsee
Bad Waldsee is a historic spa town in the German state of Baden-Württemberg, known for its thermal baths and picturesque old town.
-
C.
Bad Wiessee
Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
-
D.
Inning am Ammersee
Inning am Ammersee is a Bavarian municipality in southern Germany located on the shores of Lake Ammersee, known for its lakeside setting and proximity to Munich.
-
E.
Steinwiesen
Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural character.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a9db848190bafb959bd7511246 |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b375d48190a958b34c5df5c5f1 |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff447e1248190a3a1386946172429 |
completed | May 10, 2026, 2:58 a.m. |
Created at: April 10, 2026, 5 a.m.