Triple

T18283645
Position Surface form Disambiguated ID Type / Status
Subject Seddinsee E437924 entity
Predicate connectedToWaterBody P23655 FINISHED
Object Langer 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: Langer See | Statement: [Seddinsee, connectedToWaterBody, Langer See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langer See
Context triple: [Seddinsee, connectedToWaterBody, Langer See]
  • A. Langer See chosen
    Langer See is a long, narrow lake in southeastern Berlin that forms part of the city’s interconnected Spree–Dahme waterway and is popular for boating and watersports.
  • B. Fichtelsee
    Fichtelsee is a scenic artificial mountain lake in Germany’s Fichtelgebirge region, popular for hiking, swimming, and nature recreation.
  • C. Senftenberger See
    Senftenberger See is an artificial lake in Brandenburg, Germany, created from a former open-cast lignite mine and now used as a popular recreational and water sports area.
  • D. Kettwiger See
    Kettwiger See is a reservoir on the Ruhr River in North Rhine-Westphalia, Germany, used for water management, recreation, and local energy production.
  • E. Malchiner See
    Malchiner See is a lake in the Mecklenburgische Seenplatte region of northeastern Germany, known for its natural landscapes and birdlife.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500f7ff088190933bb8f403ce7f9c completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.