Triple

T8787905
Position Surface form Disambiguated ID Type / Status
Subject Traunstein district E209087 entity
Predicate hasLake P1025 FINISHED
Object Tachinger See E795407 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: Tachinger See | Statement: [Traunstein district, hasLake, Tachinger See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachinger See
Context triple: [Traunstein district, hasLake, Tachinger See]
  • A. Tachinger See chosen
    Tachinger See is a small scenic lake in the Chiemgau region of Bavaria, Germany, known for swimming, fishing, and its tranquil natural surroundings.
  • B. Fauler See
    Fauler See is a small lake located in the city of Schwerin in northern Germany.
  • C. 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.
  • D. Langer See
    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.
  • E. 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.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69d181fc06c48190b6a7444d975b1e09 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 6:43 p.m.