Triple
T9353051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgaden National Park |
E225064
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Funtensee
Funtensee is a small alpine lake in the Berchtesgaden Alps of Bavaria, Germany, known for recording some of the country’s lowest temperatures.
|
E807176
|
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: Funtensee | Statement: [Berchtesgaden National Park, hasPart, Funtensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funtensee Context triple: [Berchtesgaden National Park, hasPart, Funtensee]
-
A.
Jezioro Gardno
Jezioro Gardno is a coastal lake in northern Poland, located near the Baltic Sea within the Słowiński National Park.
-
B.
Fourth Lake
Fourth Lake is a popular recreational lake in the central Adirondack region of New York, known for boating, fishing, and scenic mountain surroundings.
-
C.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
D.
Stadtsee
Stadtsee is a small lake located in the town of Bad Waldsee in southern Germany, known for its scenic setting and recreational use.
-
E.
Lake Tiorati
Lake Tiorati is a popular recreational lake in New York’s Harriman State Park, known for swimming, boating, fishing, and surrounding hiking trails.
- 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: Funtensee Triple: [Berchtesgaden National Park, hasPart, Funtensee]
Generated description
Funtensee is a small alpine lake in the Berchtesgaden Alps of Bavaria, Germany, known for recording some of the country’s lowest temperatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Funtensee Target entity description: Funtensee is a small alpine lake in the Berchtesgaden Alps of Bavaria, Germany, known for recording some of the country’s lowest temperatures.
-
A.
Jezioro Gardno
Jezioro Gardno is a coastal lake in northern Poland, located near the Baltic Sea within the Słowiński National Park.
-
B.
Fourth Lake
Fourth Lake is a popular recreational lake in the central Adirondack region of New York, known for boating, fishing, and scenic mountain surroundings.
-
C.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
D.
Stadtsee
Stadtsee is a small lake located in the town of Bad Waldsee in southern Germany, known for its scenic setting and recreational use.
-
E.
Lake Tiorati
Lake Tiorati is a popular recreational lake in New York’s Harriman State Park, known for swimming, boating, fishing, and surrounding hiking trails.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9515008190b01fbb43d673de2a |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1525bd4e88190a62e5e383d1e786b |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d155cf87c0819086b6a618e2102cdf |
completed | April 4, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d155f5e2008190b881e1d6a807ca81 |
completed | April 4, 2026, 6:18 p.m. |
Created at: March 30, 2026, 7:41 p.m.