Triple

T21027251
Position Surface form Disambiguated ID Type / Status
Subject Principality of Verden E517970 entity
Predicate partOf P40 FINISHED
Object Bremen-Verden NE NERFINISHED

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: Bremen-Verden | Statement: [Principality of Verden, partOf, Bremen-Verden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bremen-Verden
Context triple: [Principality of Verden, partOf, Bremen-Verden]
  • A. Bremen-Verden chosen
    Bremen-Verden was a former duchy in northern Germany that emerged from the secularized prince-bishoprics of Bremen and Verden and was at times ruled in personal union by Sweden.
  • B. Schwanenstadt
    Schwanenstadt is a small Austrian town in the state of Upper Austria, known as the birthplace of composer Franz Xaver Süssmayr.
  • C. Free City of Bremen
    The Free City of Bremen was an autonomous Hanseatic city-state in northern Germany that maintained significant commercial and political independence within various German political unions.
  • D. Village of Bremen
    The Village of Bremen is a small incorporated community located in Fairfield County, Ohio, known for its residential character and local small-town amenities.
  • E. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7d93908190a2c29a4051fb5acc completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.