Triple

T10130001
Position Surface form Disambiguated ID Type / Status
Subject Markkleeberg E226311 entity
Predicate hasLake P1025 FINISHED
Object Markkleeberger See E736919 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: Markkleeberger See | Statement: [Markkleeberg, hasLake, Markkleeberger See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markkleeberger See
Context triple: [Markkleeberg, hasLake, Markkleeberger See]
  • A. Ziegelsee
    Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
  • B. Zwenkauer See chosen
    Zwenkauer See is a large artificial lake in Saxony, Germany, created by flooding a former open-cast lignite mine and now used as a recreational and nature area near the town of Zwenkau.
  • C. Waginger See
    Waginger See is a warm, scenic lake in southeastern Bavaria, Germany, popular for swimming, water sports, and tourism in the Chiemgau region.
  • D. 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.
  • E. 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.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69e462472ed88190a76b04157c235c80 completed April 19, 2026, 5:04 a.m.
Created at: March 30, 2026, 9:05 p.m.