Triple

T17429479
Position Surface form Disambiguated ID Type / Status
Subject Befreiungshalle near Kelheim E423829 entity
Predicate locatedOn P40 FINISHED
Object Michelsberg hill 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: Michelsberg hill | Statement: [Befreiungshalle near Kelheim, locatedOn, Michelsberg hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelsberg hill
Context triple: [Befreiungshalle near Kelheim, locatedOn, Michelsberg hill]
  • A. Michaelsberg hill chosen
    Michaelsberg hill is a prominent elevation in Siegburg, Germany, known for its historic monastery and panoramic views over the surrounding region.
  • B. Burgberg hill
    Burgberg hill is a prominent elevation in the Harz Mountains of Germany, known as a scenic lookout and recreational destination accessible by cable car.
  • C. Hunerberg hill
    Hunerberg hill is a prominent elevation in Nijmegen, Netherlands, historically significant as a Roman military site and vantage point over the surrounding area.
  • D. Marienberg hill
    Marienberg hill is a prominent elevation overlooking Würzburg, Germany, best known as the site of the historic Marienberg Fortress.
  • E. Pfingstberg hill
    Pfingstberg hill is a prominent elevation in Potsdam, Germany, known for its scenic views and historic landscape architecture, including royal gardens and palatial structures.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fe9e28819092a80f5686eb362f completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.