Triple

T9335692
Position Surface form Disambiguated ID Type / Status
Subject Sablon district E224636 entity
Predicate hasPart P35 FINISHED
Object Petit Sablon E386052 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: Petit Sablon | Statement: [Sablon district, hasPart, Petit Sablon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petit Sablon
Context triple: [Sablon district, hasPart, Petit Sablon]
  • A. Petit Sablon chosen
    Petit Sablon is a historic square and landscaped garden in central Brussels, Belgium, known for its ornate statues and proximity to major landmarks such as the Egmont Palace.
  • B. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • C. L’Estaque
    L’Estaque is a coastal district of Marseille in southern France, famed for its picturesque Mediterranean scenery that inspired numerous Impressionist and Post-Impressionist painters.
  • D. Gros Caillou
    Gros Caillou is a famous large glacial erratic stone and emblematic monument of Lyon, France, symbolizing the La Croix-Rousse district.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37f031888190a90d263d225d163c completed April 1, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3d8316081908cb9ea36eb069c2d completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:40 p.m.