Triple

T20827167
Position Surface form Disambiguated ID Type / Status
Subject Brombachsee E512732 entity
Predicate hasPart P35 FINISHED
Object Igelsbachsee 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: Igelsbachsee | Statement: [Brombachsee, hasPart, Igelsbachsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igelsbachsee
Context triple: [Brombachsee, hasPart, Igelsbachsee]
  • A. Igelsbachsee chosen
    Igelsbachsee is a reservoir and recreational lake in the Weißenburg-Gunzenhausen district of Bavaria, Germany, popular for swimming, sailing, and other water activities.
  • B. Hillebachsee
    Hillebachsee is a small recreational lake in the Sauerland region of Germany, popular for swimming, water sports, and outdoor leisure activities.
  • C. Spitzingsee
    Spitzingsee is a picturesque alpine lake in Bavaria, Germany, popular for hiking, skiing, and other outdoor recreation in the surrounding mountains.
  • D. Bannwaldsee
    Bannwaldsee is a scenic lake in the Ostallgäu region of Bavaria, Germany, known for its natural surroundings and recreational opportunities.
  • E. Wolletzsee
    Wolletzsee is a scenic lake in northeastern Germany, known for its natural surroundings and recreational opportunities near the town of Angermünde in Brandenburg.
  • 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.