Triple

T4346650
Position Surface form Disambiguated ID Type / Status
Subject Douaumont Ossuary E97919 entity
Predicate architect P184 FINISHED
Object Léon Azéma E123039 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: Léon Azéma | Statement: [Douaumont Ossuary, architect, Léon Azéma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léon Azéma
Context triple: [Douaumont Ossuary, architect, Léon Azéma]
  • A. Léon Azéma chosen
    Léon Azéma was a 20th-century French architect known for major public works in Paris, including co-designing the Palais de Chaillot for the 1937 Exposition.
  • B. Louis Méjan
    Louis Méjan was a French political figure known for helping establish the centrist-liberal Democratic Republican Alliance in the early Third Republic.
  • C. Léon Marchal
    Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
  • D. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • E. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518d6728819084a2f40ae0bd3ac8 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761601814819092889a7d6ba74a02 completed March 28, 2026, 5:04 a.m.
Created at: March 12, 2026, 11:15 p.m.