Triple
T9005034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraueninsel |
E215121
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Frauenwörth
Frauenwörth is a small Bavarian island in Germany’s Chiemsee best known for its historic Benedictine convent and picturesque lakeside setting.
|
E774101
|
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: Frauenwörth | Statement: [Fraueninsel, alsoKnownAs, Frauenwörth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frauenwörth Context triple: [Fraueninsel, alsoKnownAs, Frauenwörth]
-
A.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
-
B.
Waidhofen an der Ybbs
Waidhofen an der Ybbs is a historic small town in Lower Austria known for its picturesque setting on the Ybbs River, medieval architecture, and surrounding Alpine foothills.
-
C.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
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: Frauenwörth Triple: [Fraueninsel, alsoKnownAs, Frauenwörth]
Generated description
Frauenwörth is a small Bavarian island in Germany’s Chiemsee best known for its historic Benedictine convent and picturesque lakeside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frauenwörth Target entity description: Frauenwörth is a small Bavarian island in Germany’s Chiemsee best known for its historic Benedictine convent and picturesque lakeside setting.
-
A.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
-
B.
Waidhofen an der Ybbs
Waidhofen an der Ybbs is a historic small town in Lower Austria known for its picturesque setting on the Ybbs River, medieval architecture, and surrounding Alpine foothills.
-
C.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc695afa34819086cf6fcce2997b5f |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb5b88d48190b684c43cc88d8438 |
completed | April 3, 2026, 4:31 p.m. |
| NEDg | Description generation | batch_69cfec7551b08190b8e6d2361d301aa7 |
completed | April 3, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfecdc70048190813f715153ca0f0e |
completed | April 3, 2026, 4:37 p.m. |
Created at: March 30, 2026, 7:05 p.m.