Triple

T16799916
Position Surface form Disambiguated ID Type / Status
Subject Saxon Ore Mountain mining region E408328 entity
Predicate hasImportantTown P14082 FINISHED
Object Annaberg-Buchholz 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: Annaberg-Buchholz | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Annaberg-Buchholz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annaberg-Buchholz
Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Annaberg-Buchholz]
  • A. Annaberg-Buchholz chosen
    Annaberg-Buchholz is a historic mining town in eastern Germany known for its rich ore-mining heritage and traditional Christmas folk art.
  • B. Trostberg
    Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
  • C. Schkeuditz
    Schkeuditz is a town in the German state of Saxony, situated between Leipzig and Halle and known as an important regional transport hub.
  • D. Böhlen
    Böhlen is a small town in the Leipzig district of Saxony, Germany, known for its lignite mining and power generation industries.
  • E. Wunsiedel
    Wunsiedel is a historic town in northeastern Bavaria, Germany, known for its location in the Fichtel Mountains and its traditional Franconian architecture.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2acd3548190a5f6ce7d1cf74117 completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:22 a.m.