Triple

T4248253
Position Surface form Disambiguated ID Type / Status
Subject Krkonoše Mountains E95579 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: [Krkonoše Mountains, partOf, Bohemian Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemian Massif
Context triple: [Krkonoše Mountains, 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. 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.
  • D. Orlické Mountains
    The Orlické Mountains are a mountain range in northeastern Bohemia, Czech Republic, known for their forested ridges, hiking and skiing opportunities, and position along the Czech–Polish border.
  • E. Krušné hory
    Krušné hory is a mountain range along the Czech–German border known for its historic mining heritage, forests, and winter sports resorts.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9cb71481909b4baa370193148f completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87c033881908e0cf9fdfecaf36a completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.