Triple

T3533597
Position Surface form Disambiguated ID Type / Status
Subject Elbe Sandstone Mountains E74717 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: [Elbe Sandstone Mountains, partOf, Bohemian Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemian Massif
Context triple: [Elbe Sandstone 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9b945481909867d44b810e8b1f completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e9c408481909a808d400f545ff8 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.