Triple

T16799927
Position Surface form Disambiguated ID Type / Status
Subject Saxon Ore Mountain mining region E408328 entity
Predicate hasImportantTown P14082 FINISHED
Object Schwarzenberg E1216558 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: Schwarzenberg | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Schwarzenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwarzenberg
Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Schwarzenberg]
  • A. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • B. Schwarzenberg chosen
    Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
  • C. Schwarzenburg
    Schwarzenburg is a municipality in the canton of Bern, Switzerland, known for its rural character and location in the Sense district southwest of the city of Bern.
  • D. Senftenberg
    Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
  • E. Zamberk
    Zamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its traditional architecture and scenic setting in the Orlické Mountains foothills.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2acd3548190a5f6ce7d1cf74117 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.