Triple
T5208145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Englischer Garten |
E117562
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Eisbachwelle
The Eisbachwelle is a famous standing river wave in Munich that attracts surfers year-round and has become a notable urban surfing hotspot.
|
E502917
|
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: Eisbachwelle | Statement: [Englischer Garten, hasPart, Eisbachwelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisbachwelle Context triple: [Englischer Garten, hasPart, Eisbachwelle]
-
A.
La Rippe
La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
-
B.
Schlei
Schlei is a narrow Baltic Sea inlet in northern Germany that resembles a river and is known for its scenic landscapes and historic towns.
-
C.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
D.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
E.
Königsseer Ache
Königsseer Ache is a river in Bavaria, Germany, that drains the alpine lake Königssee and flows northward toward the Berchtesgadener Ache.
- 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: Eisbachwelle Triple: [Englischer Garten, hasPart, Eisbachwelle]
Generated description
The Eisbachwelle is a famous standing river wave in Munich that attracts surfers year-round and has become a notable urban surfing hotspot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eisbachwelle Target entity description: The Eisbachwelle is a famous standing river wave in Munich that attracts surfers year-round and has become a notable urban surfing hotspot.
-
A.
La Rippe
La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
-
B.
Schlei
Schlei is a narrow Baltic Sea inlet in northern Germany that resembles a river and is known for its scenic landscapes and historic towns.
-
C.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
-
D.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
E.
Königsseer Ache
Königsseer Ache is a river in Bavaria, Germany, that drains the alpine lake Königssee and flows northward toward the Berchtesgadener Ache.
- 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.