Triple

T20640725
Position Surface form Disambiguated ID Type / Status
Subject Franconian Lake District E507212 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: [Franconian Lake District, hasPart, Igelsbachsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igelsbachsee
Context triple: [Franconian Lake District, 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.