Triple

T11804438
Position Surface form Disambiguated ID Type / Status
Subject Mühlviertel E280708 entity
Predicate partOf P40 FINISHED
Object Bohemian Massif E51484 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: Bohemian Massif | Statement: [Mühlviertel, partOf, Bohemian Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemian Massif
Context triple: [Mühlviertel, 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. Dagi
    Dagi is a diminutive form of the given name Dagmar, commonly used as an affectionate nickname.
  • D. Tripyramid massif
    The Tripyramid massif is a prominent multi-peaked mountain group in New Hampshire’s White Mountains, known for its steep slides and challenging hiking routes.
  • E. Ore Mountains
    The Ore Mountains are a mountain range along the German-Czech border known for their historic mining industry and traditional Christmas folk art.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.