Triple

T17816481
Position Surface form Disambiguated ID Type / Status
Subject Grunewaldsee E444856 entity
Predicate nearby P350 FINISHED
Object Halensee NE NERFINISHED

How this triple was built (3 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: Halensee | Statement: [Grunewaldsee, nearby, Halensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halensee
Context triple: [Grunewaldsee, nearby, Halensee]
  • A. Halensee
    Halensee is a railway station in Berlin that serves the city's circular Ringbahn line, connecting the Halensee district to the wider urban rail network.
  • B. 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.
  • C. Müggelsee
    Müggelsee is the largest lake in Berlin, Germany, known for its popular recreational areas and natural surroundings.
  • D. Egelsee
    Egelsee is a locality within the Austrian city of Krems an der Donau, known for its residential character and proximity to the Wachau cultural landscape.
  • E. Fälensee
    Fälensee is a picturesque alpine lake in the Alpstein massif of northeastern Switzerland, popular for hiking and mountain scenery.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Halensee
Target entity description: Halensee is a small lake and residential locality in Berlin’s Charlottenburg-Wilmersdorf district, known for its urban setting near major transport routes and green spaces.
  • A. Halensee chosen
    Halensee is a railway station in Berlin that serves the city's circular Ringbahn line, connecting the Halensee district to the wider urban rail network.
  • B. 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.
  • C. Müggelsee
    Müggelsee is the largest lake in Berlin, Germany, known for its popular recreational areas and natural surroundings.
  • D. Egelsee
    Egelsee is a locality within the Austrian city of Krems an der Donau, known for its residential character and proximity to the Wachau cultural landscape.
  • E. Fälensee
    Fälensee is a picturesque alpine lake in the Alpstein massif of northeastern Switzerland, popular for hiking and mountain scenery.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.