Triple
T5208140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Englischer Garten |
E117562
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Schönfeldwiese
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
|
E502914
|
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: Schönfeldwiese | Statement: [Englischer Garten, hasPart, Schönfeldwiese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schönfeldwiese Context triple: [Englischer Garten, hasPart, Schönfeldwiese]
-
A.
Wöhrder Wiese
Wöhrder Wiese is a green riverside park area in Nuremberg, Germany, known for recreation and events near the city center.
-
B.
Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
-
C.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
-
D.
Ueffelner Aue
Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- 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: Schönfeldwiese Triple: [Englischer Garten, hasPart, Schönfeldwiese]
Generated description
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schönfeldwiese Target entity description: Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
-
A.
Wöhrder Wiese
Wöhrder Wiese is a green riverside park area in Nuremberg, Germany, known for recreation and events near the city center.
-
B.
Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
-
C.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
-
D.
Ueffelner Aue
Ueffelner Aue is a small river in Lower Saxony, Germany, that flows through rural landscapes before joining the Hase.
-
E.
Riedergarten
Riedergarten is a historic public garden and popular green oasis located in the Bavarian city of Rosenheim, Germany.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefd4b75c8190b1b87b8d93925245 |
completed | March 21, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69bef0761c208190bac06ff1f92c8224 |
completed | March 21, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef14ca27c81909a5a44155c9ddaf9 |
completed | March 21, 2026, 7:28 p.m. |
Created at: March 20, 2026, 1:47 p.m.