Triple

T1117667
Position Surface form Disambiguated ID Type / Status
Subject Tarascon E11137 entity
Predicate hasLandmark P105 FINISHED
Object Château de Tarascon E130645 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: Château de Tarascon | Statement: [Tarascon, hasLandmark, Château de Tarascon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Château de Tarascon
Context triple: [Tarascon, hasLandmark, Château de Tarascon]
  • A. Château de Tarascon chosen
    The Château de Tarascon is a well-preserved medieval fortress in southern France, renowned for its imposing riverside architecture and historical role as a royal stronghold and later a prison.
  • B. Château de Chambéry
    Château de Chambéry is a historic Savoyard castle in Chambéry, France, that served as the principal residence and political center of the Counts and Dukes of Savoy.
  • C. Château de Colombes
    Château de Colombes was a French royal residence near Paris, historically notable as the final home of Queen Henrietta Maria of France.
  • D. Château de la Bâtie
    Château de la Bâtie is a historic medieval castle overlooking the town of Vienne in southeastern France.
  • E. 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.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bba425a8819099116e479552332e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc60fb34c819085dd801f7364829a completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:43 p.m.