Triple

T8666299
Position Surface form Disambiguated ID Type / Status
Subject Raymond Duchamp-Villon E205681 entity
Predicate burialPlace P196 FINISHED
Object Rouen, France E51605 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: Rouen, France | Statement: [Raymond Duchamp-Villon, burialPlace, Rouen, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rouen, France
Context triple: [Raymond Duchamp-Villon, burialPlace, Rouen, France]
  • A. Rouen chosen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • B. Evreux, France
    Evreux is a historic town in the Normandy region of northern France, known for its Gothic cathedral and role as an administrative and cultural center.
  • C. Montreuil, France
    Montreuil is a suburban commune in the eastern part of the Paris metropolitan area, known for its diverse population and mix of residential, commercial, and cultural spaces.
  • D. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • E. Amiens, France
    Amiens, France is a historic city in northern France known for its Gothic cathedral and as the birthplace of French President Emmanuel Macron.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a1dd1481908c56abca48fcd562 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3898bf88190959b361638d032de completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:31 p.m.