Triple

T2991546
Position Surface form Disambiguated ID Type / Status
Subject William II, Margrave of Meissen E80764 entity
Predicate placeOfActivity P1527 FINISHED
Object Meissen E74716 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: Meissen | Statement: [William II, Margrave of Meissen, placeOfActivity, Meissen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meissen
Context triple: [William II, Margrave of Meissen, placeOfActivity, Meissen]
  • A. Meissen chosen
    Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
  • B. Glashütten
    Glashütten is a small municipality in the Hochtaunus district of Hesse, Germany, known for its scenic location in the Taunus mountains and its residential, forested character.
  • C. Sorbs
    The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
  • D. Meuselwitz
    Meuselwitz is a small town in the German state of Thuringia, known historically for its lignite mining and industrial heritage.
  • E. 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.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99df69d08190a0e25efb0dc8d653 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b109039cfc8190a286c83df752967e completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.