Triple

T17820514
Position Surface form Disambiguated ID Type / Status
Subject Fichtelgebirge E444968 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: [Fichtelgebirge, partOf, Bohemian Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemian Massif
Context triple: [Fichtelgebirge, 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48910eb8881908db8ec08e2752d7d completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.