Triple

T18915409
Position Surface form Disambiguated ID Type / Status
Subject Oetz E462711 entity
Predicate hasAttraction P105 FINISHED
Object Piburger See 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: Piburger See | Statement: [Oetz, hasAttraction, Piburger See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piburger See
Context triple: [Oetz, hasAttraction, Piburger See]
  • A. Piburger See chosen
    Piburger See is a picturesque alpine lake in Tyrol, Austria, known for its clear waters, surrounding forests, and popularity for hiking, swimming, and nature recreation.
  • B. Plauer See
    Plauer See is a large lake in northeastern Germany known for its scenic natural surroundings, recreational activities, and role as part of the extensive Mecklenburg lake system.
  • C. Malchiner See
    Malchiner See is a lake in the Mecklenburgische Seenplatte region of northeastern Germany, known for its natural landscapes and birdlife.
  • D. Pfäffikersee
    Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
  • E. Parsteiner See
    Parsteiner See is a scenic natural lake in Brandenburg, Germany, known for its clear waters, surrounding forests, and popularity for swimming and nature recreation.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62685408190b17280147e1c247a completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.