Triple

T14499137
Position Surface form Disambiguated ID Type / Status
Subject Adolphe, Duke of Nassau E359583 entity
Predicate birthPlace P1 FINISHED
Object Biebrich E217916 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: Biebrich | Statement: [Adolphe, Duke of Nassau, birthPlace, Biebrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biebrich
Context triple: [Adolphe, Duke of Nassau, birthPlace, Biebrich]
  • A. Biebrich chosen
    Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
  • B. Grömitz
    Grömitz is a Baltic Sea resort town in northern Germany known for its long sandy beaches and seaside tourism.
  • C. Gadebusch
    Gadebusch is a small historic town in northern Germany known for its medieval architecture and rural surroundings.
  • D. Plüderhausen
    Plüderhausen is a municipality in the German state of Baden-Württemberg, located in the Rems Valley east of Stuttgart.
  • E. Schwedt
    Schwedt is a town in northeastern Germany, located on the Oder River near the Polish border, known for its industrial facilities and cross-border regional ties.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2a938081909ccd9fe7c5021dc6 completed May 9, 2026, 3 p.m.
Created at: April 10, 2026, 1:21 a.m.