Triple

T12083138
Position Surface form Disambiguated ID Type / Status
Subject Sorpe River E287732 entity
Predicate forms P2100 FINISHED
Object Sorpesee E228424 NE FINISHED

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: Sorpesee | Statement: [Sorpe River, forms, Sorpesee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorpesee
Context triple: [Sorpe River, forms, Sorpesee]
  • A. Sorpesee chosen
    Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
  • B. 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.
  • C. 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.
  • D. Boveresse
    Boveresse is a former municipality in the canton of Neuchâtel, Switzerland, that is now part of the larger municipality of Val-de-Travers.
  • E. Beloeil
    Beloeil is a suburban city in southwestern Quebec, Canada, located along the Richelieu River opposite Mont-Saint-Hilaire and forming part of the greater Montreal area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.