Triple

T20497443
Position Surface form Disambiguated ID Type / Status
Subject Eisbach E502910 entity
Predicate hasSection P35 FINISHED
Object Eisbachwelle 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: Eisbachwelle | Statement: [Eisbach, hasSection, Eisbachwelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisbachwelle
Context triple: [Eisbach, hasSection, Eisbachwelle]
  • A. Eisbachwelle chosen
    The Eisbachwelle is a famous standing river wave in Munich that attracts surfers year-round and has become a notable urban surfing hotspot.
  • B. Eisbach
    The Eisbach is a small, fast-flowing man-made river in Munich, Germany, famous for its standing wave that attracts urban surfers year-round.
  • C. Rheintal
    Rheintal is a region in eastern Switzerland along the Rhine River, known for its valleys, towns, and cross-border connections with neighboring countries.
  • D. Oberaar dam
    Oberaar Dam is a Swiss gravity dam in the Bernese Alps that impounds the Oberaarsee reservoir as part of a hydroelectric power scheme.
  • E. Drachselsried
    Drachselsried is a small municipality in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and rural character.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbefe4c819098af5bfd4d92341d completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.