Triple

T13331718
Position Surface form Disambiguated ID Type / Status
Subject Ore Mountain folk tradition E317589 entity
Predicate centerOfProduction P32531 FINISHED
Object Marienberg E84126 NE FINISHED

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: Marienberg | Statement: [Ore Mountain folk tradition, centerOfProduction, Marienberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marienberg
Context triple: [Ore Mountain folk tradition, centerOfProduction, Marienberg]
  • A. Marienberg chosen
    Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
  • B. Marienberg hill
    Marienberg hill is a prominent elevation overlooking Würzburg, Germany, best known as the site of the historic Marienberg Fortress.
  • C. Falkenfels
    Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
  • D. Marienberg Fortress
    Marienberg Fortress is a historic hilltop castle complex overlooking Würzburg, Germany, known for its medieval fortifications and panoramic views of the Main River valley.
  • E. Marienberg am Rhein
    Marienberg am Rhein is a small locality in Germany best known as the birthplace of the influential philosopher and psychologist Franz Brentano.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992fffa0819086610ae3bed2e2f9 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8322ac8190a9830d9ca92f455f completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:30 p.m.