Triple

T13114073
Position Surface form Disambiguated ID Type / Status
Subject Mecklenburgische Seenplatte (district) E311047 entity
Predicate contains P35 FINISHED
Object Tollensesee E343097 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: Tollensesee | Statement: [Mecklenburgische Seenplatte (district), contains, Tollensesee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tollensesee
Context triple: [Mecklenburgische Seenplatte (district), contains, Tollensesee]
  • A. Tollensesee chosen
    Tollensesee is a large glacial lake in northeastern Germany, known for its scenic surroundings and recreational opportunities near the city of Neubrandenburg.
  • B. Spullersee
    Spullersee is a high-altitude reservoir lake in the Austrian Alps, known for its scenic mountain setting and use in regional hydroelectric power generation.
  • C. 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.
  • D. Sämtisersee
    Sämtisersee is a picturesque alpine lake in the Swiss Alpstein massif, known for its scenic hiking surroundings and traditional mountain pastures.
  • E. Stölpchensee
    Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7696f0819094825b158e1e9a8c completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:06 p.m.