Triple

T20827166
Position Surface form Disambiguated ID Type / Status
Subject Brombachsee E512732 entity
Predicate hasPart P35 FINISHED
Object Kleiner Brombachsee NE NERFINISHED

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: Kleiner Brombachsee | Statement: [Brombachsee, hasPart, Kleiner Brombachsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kleiner Brombachsee
Context triple: [Brombachsee, hasPart, Kleiner Brombachsee]
  • A. Brombachsee chosen
    Brombachsee is a large artificial lake in Bavaria, Germany, popular for recreation, water sports, and tourism.
  • B. Spitzingsee
    Spitzingsee is a picturesque alpine lake in Bavaria, Germany, popular for hiking, skiing, and other outdoor recreation in the surrounding mountains.
  • C. Zierker See
    Zierker See is a lake in the Mecklenburg Lake District of northeastern Germany, known for its scenic surroundings and proximity to the town of Neustrelitz.
  • D. Hahnenkammsee
    Hahnenkammsee is an artificial recreational lake in Bavaria, Germany, known for swimming, water sports, and nature activities within the Franconian Lake District.
  • E. Steißlinger See
    Steißlinger See is a small natural lake in the municipality of Steißlingen in Baden-Württemberg, Germany, known for its scenic surroundings and recreational use.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fe54608190a061274bf4316610 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.