Triple

T20025382
Position Surface form Disambiguated ID Type / Status
Subject Moravian Plateau E494968 entity
Predicate partOf P40 FINISHED
Object Bohemian Massif 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: Bohemian Massif | Statement: [Moravian Plateau, partOf, Bohemian Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemian Massif
Context triple: [Moravian Plateau, partOf, Bohemian Massif]
  • A. Bohemian Massif chosen
    The Bohemian Massif is a large, ancient crystalline highland in Central Europe, spanning parts of the Czech Republic, Germany, Austria, and Poland.
  • B. Ďumbier massif
    Ďumbier massif is a prominent mountain group in central Slovakia known for its rugged alpine terrain and scenic hiking routes.
  • C. Kašperské Hory
    Kašperské Hory is a historic Czech town in the Šumava (Bohemian Forest) region, known for its medieval gold mining heritage and proximity to the Kašperk Castle.
  • D. Dagi
    Dagi is a diminutive form of the given name Dagmar, commonly used as an affectionate nickname.
  • E. Roztocze
    Roztocze is a picturesque upland region spanning southeastern Poland and western Ukraine, known for its rolling hills, forests, and protected natural landscapes.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.