Triple

T10796047
Position Surface form Disambiguated ID Type / Status
Subject Miesbach district E254707 entity
Predicate contains P35 FINISHED
Object Schliersee lake E915749 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: Schliersee lake | Statement: [Miesbach district, contains, Schliersee lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schliersee lake
Context triple: [Miesbach district, contains, Schliersee lake]
  • A. Schliersee chosen
    Schliersee is a picturesque lake and town in the Bavarian Alps of southern Germany, known for its scenic mountain setting and outdoor recreation.
  • B. Schlosssee
    Schlosssee is a scenic lake in the spa town of Bad Waldsee in southern Germany, known for recreation and its picturesque natural setting.
  • C. Starnberger See
    Starnberger See is a large, scenic lake in southern Germany known for its affluent lakeside communities, recreational activities, and historical associations with Bavarian royalty.
  • D. Ammersee
    Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
  • E. Alpsee
    Alpsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear waters and scenic setting near the royal castles of Neuschwanstein and Hohenschwangau.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73332dbfc8190904434846957b618 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5d2d717888190b7e455d006d01033 completed April 20, 2026, 7:16 a.m.
Created at: April 8, 2026, 9:17 p.m.