Triple

T3965655
Position Surface form Disambiguated ID Type / Status
Subject Maienwerder E92210 entity
Predicate locatedInBodyOfWater P1714 FINISHED
Object Tegeler See E15475 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: Tegeler See | Statement: [Maienwerder, locatedInBodyOfWater, Tegeler See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegeler See
Context triple: [Maienwerder, locatedInBodyOfWater, Tegeler See]
  • A. Tegeler See chosen
    Tegeler See is a large lake in the Tegel district of Berlin, Germany, popular for recreation, boating, and its surrounding natural areas.
  • B. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • C. Griebnitzsee
    Griebnitzsee is a lake on the southwestern outskirts of Berlin, Germany, known for its scenic waterfront, historic villas, and role as part of the former inner German border.
  • D. Schwielowsee
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • E. Heiligensee
    Heiligensee is a residential and partly lakeside locality in the northwest of Berlin, known for its green spaces and village-like character within the borough of Reinickendorf.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97520588190922e56201fc3ca52 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400311bc81908379313e2d444557 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:31 p.m.