Triple

T17529130
Position Surface form Disambiguated ID Type / Status
Subject Château de Berg E426882 entity
Predicate hasNameInLanguage P15 FINISHED
Object Château de Berg 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: Château de Berg | Statement: [Château de Berg, hasNameInLanguage, Château de Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Château de Berg
Context triple: [Château de Berg, hasNameInLanguage, Château de Berg]
  • A. Château de Berg chosen
    Château de Berg is a historic royal residence in Luxembourg that serves as the private home of the country’s grand ducal family.
  • B. Château de Béost
    Château de Béost is a historic castle in the Ain department of eastern France, recognized as a protected monument for its architectural and cultural significance.
  • C. Château de Freÿr
    Château de Freÿr is a historic Renaissance-style castle on the Meuse River in Belgium, renowned for its terraced gardens and status as a major Walloon heritage site.
  • D. Château de Boncourt
    Château de Boncourt was a French estate best known as the birthplace of the German Romantic poet and botanist Adelbert von Chamisso.
  • E. Château de Ham
    Château de Ham is a historic medieval fortress in northern France, long used as a strategic stronghold and later as a state prison.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d81a808190ab38831ea5b73b74 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.