Triple

T6574478
Position Surface form Disambiguated ID Type / Status
Subject Duke of Cleves E155524 entity
Predicate partOf P40 FINISHED
Object Rhineland E60266 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: Rhineland | Statement: [Duke of Cleves, partOf, Rhineland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhineland
Context triple: [Duke of Cleves, partOf, Rhineland]
  • A. Rhineland chosen
    The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
  • B. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • C. Westphalia
    Westphalia is a historical region in northwestern Germany known for being the site of the 1648 treaties that ended the Thirty Years' War and reshaped the political order of Europe.
  • D. Pfalz
    Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
  • E. Ardennes-Eifel region
    The Ardennes-Eifel region is a hilly, forested area spanning parts of eastern Belgium, Luxembourg, and western Germany, known for its natural landscapes, outdoor recreation, and historical World War II sites.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7134708190a0355519d117ab9c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7867e688190aad8cc2b396a64eb completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:53 p.m.