Triple

T20640726
Position Surface form Disambiguated ID Type / Status
Subject Franconian Lake District E507212 entity
Predicate hasPart P35 FINISHED
Object Altmühlsee 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: Altmühlsee | Statement: [Franconian Lake District, hasPart, Altmühlsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altmühlsee
Context triple: [Franconian Lake District, hasPart, Altmühlsee]
  • A. Altmühlsee chosen
    Altmühlsee is an artificial recreational lake in Bavaria, Germany, popular for swimming, sailing, and nature conservation.
  • B. Wörthsee
    Wörthsee is a scenic lake and popular recreational destination in Upper Bavaria, Germany, known for its clear waters and proximity to Munich.
  • C. Würmsee
    Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
  • D. Ammersee
    Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
  • E. Chiemsee
    Chiemsee is one of Germany’s largest lakes, famed for its scenic Alpine setting and historic islands such as Herrenchiemsee with its royal palace.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.