Triple

T782028
Position Surface form Disambiguated ID Type / Status
Subject Nantes E16517 entity
Predicate hasLandmark P105 FINISHED
Object Passage Pommeraye E102434 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: Passage Pommeraye | Statement: [Nantes, hasLandmark, Passage Pommeraye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passage Pommeraye
Context triple: [Nantes, hasLandmark, Passage Pommeraye]
  • A. Passage Pommeraye chosen
    Passage Pommeraye is a 19th-century covered shopping arcade in Nantes, France, celebrated for its ornate architecture, grand staircases, and historic boutiques.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • D. de Chomedey
    de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
  • E. Ermenonville
    Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a765ba688190ab328bb159583077 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83be4f88190ab5f969f4f52924e completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:37 p.m.