Triple

T15204264
Position Surface form Disambiguated ID Type / Status
Subject White Elster E363347 entity
Predicate region P40 FINISHED
Object Vogtland E78598 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: Vogtland | Statement: [White Elster, region, Vogtland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogtland
Context triple: [White Elster, region, Vogtland]
  • A. Vogtland chosen
    Vogtland is a hilly, historically rich region in central Europe spanning parts of Saxony, Thuringia, Bavaria, and the Czech Republic, known for its musical instrument making and scenic landscapes.
  • B. Elbe valley
    The Elbe valley is a scenic river valley along the Elbe River, known for its dramatic sandstone formations, historic towns, and cultural landscapes in central Europe.
  • C. Unstrut River region
    The Unstrut River region is a historical landscape in central Germany characterized by the Unstrut River and its surrounding valleys, towns, and agricultural areas.
  • D. Hohenelbe
    Hohenelbe is the German name for the Czech town of Vrchlabí, a gateway to the Krkonoše (Giant) Mountains region.
  • E. Wuhle Valley
    Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2dc6f08190a8f1612ac29a8654 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.