Triple

T1594274
Position Surface form Disambiguated ID Type / Status
Subject Havel E34243 entity
Predicate hasLakeExpansion P29668 FINISHED
Object Plauer See (Brandenburg) E155849 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: Plauer See (Brandenburg) | Statement: [Havel, hasLakeExpansion, Plauer See (Brandenburg)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plauer See (Brandenburg)
Context triple: [Havel, hasLakeExpansion, Plauer See (Brandenburg)]
  • A. Plauer See (Brandenburg) chosen
    Plauer See (Brandenburg) is a large lake in the German state of Brandenburg that forms part of the Havel waterway and is popular for boating, fishing, and nature recreation.
  • B. Schwielowsee
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • C. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • D. Langer See, Grünau
    Langer See in Grünau is a stretch of the River Dahme in Berlin, Germany, historically notable as the rowing and canoeing venue for the 1936 Summer Olympics.
  • E. Großer Döllnsee
    Großer Döllnsee is a large lake in Brandenburg, Germany, situated in a forested area of the Schorfheide region.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61ddc9908190a4afca1c24400817 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a595488190a73cfa867595b568 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.