Triple

T5185964
Position Surface form Disambiguated ID Type / Status
Subject Frederick III, Elector of Saxony E117030 entity
Predicate residence P75 FINISHED
Object Wittenberg E30826 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: Wittenberg | Statement: [Frederick III, Elector of Saxony, residence, Wittenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wittenberg
Context triple: [Frederick III, Elector of Saxony, residence, Wittenberg]
  • A. Wittenberg chosen
    Wittenberg is a historic German city best known as the cradle of the Protestant Reformation and the place where Martin Luther taught and preached.
  • B. Village of Wittenberg
    The Village of Wittenberg is a small rural community in central Wisconsin known for its agricultural surroundings and local small-town character.
  • C. Wittenberg University
    Wittenberg University is a private liberal arts college known for its strong undergraduate programs and historic campus in Springfield, Ohio.
  • D. University of Wittenberg
    The University of Wittenberg was a prominent early 16th-century German university renowned as the cradle of the Protestant Reformation and the academic home of Martin Luther.
  • E. Heidelberg
    Heidelberg is a historic university city in southwestern Germany renowned for its picturesque old town, castle ruins, and one of Europe’s oldest universities.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c269148190badbaf9832a194c0 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefb6eaac8190a34b01c6e30b41dc completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:46 p.m.