Triple

T19800268
Position Surface form Disambiguated ID Type / Status
Subject Hallwilersee E475652 entity
Predicate tourismRegion P3030 FINISHED
Object Seetal (Lake Valley) NE NERFINISHED

How this triple was built (2 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: Seetal (Lake Valley) | Statement: [Hallwilersee, tourismRegion, Seetal (Lake Valley)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seetal (Lake Valley)
Context triple: [Hallwilersee, tourismRegion, Seetal (Lake Valley)]
  • A. Seetal valley chosen
    Seetal valley is a picturesque valley region in Switzerland known for its lakes, rolling hills, and traditional Swiss villages.
  • B. Limmat Valley
    Limmat Valley is a river valley in the Swiss canton of Zurich, shaped by the Limmat River and known for its mix of urban settlements, industry, and natural landscapes.
  • C. Lochmoor
    Lochmoor was the original name of the city now known as Grosse Pointe Woods, Michigan, a suburban community northeast of Detroit.
  • D. Threenarrows Lake
    Threenarrows Lake is a remote backcountry lake in Ontario’s Killarney Provincial Park, known for its rugged wilderness setting and canoe-camping opportunities.
  • E. Seevetal
    Seevetal is a large municipality in Lower Saxony, Germany, located just south of Hamburg and known for its suburban character and good transport connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cb865c81909696d2b37476f62f completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.