Triple
T12317823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpstein region |
E293647
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fälensee
Fälensee is a picturesque alpine lake in the Alpstein massif of northeastern Switzerland, popular for hiking and mountain scenery.
|
E987636
|
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: Fälensee | Statement: [Alpstein region, contains, Fälensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fälensee Context triple: [Alpstein region, contains, Fälensee]
-
A.
Fleesensee
Fleesensee is a large lake in northeastern Germany known for its popular holiday resorts, water sports, and scenic natural surroundings.
-
B.
Fennsee
Fennsee is a small urban lake and surrounding green area in Berlin’s Wilmersdorf district, popular for local recreation and walking.
-
C.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
D.
Ziegelsee
Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
-
E.
Stölpchensee
Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
- 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: Fälensee Triple: [Alpstein region, contains, Fälensee]
Generated description
Fälensee is a picturesque alpine lake in the Alpstein massif of northeastern Switzerland, popular for hiking and mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fälensee Target entity description: Fälensee is a picturesque alpine lake in the Alpstein massif of northeastern Switzerland, popular for hiking and mountain scenery.
-
A.
Fleesensee
Fleesensee is a large lake in northeastern Germany known for its popular holiday resorts, water sports, and scenic natural surroundings.
-
B.
Fennsee
Fennsee is a small urban lake and surrounding green area in Berlin’s Wilmersdorf district, popular for local recreation and walking.
-
C.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
D.
Ziegelsee
Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
-
E.
Stölpchensee
Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8ed1dc81908a0066d7cbfda086 |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.