Triple

T20680356
Position Surface form Disambiguated ID Type / Status
Subject Rochefort E508274 entity
Predicate hasSubdivision P747 FINISHED
Object Wavreille NE NERFINISHED

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: Wavreille | Statement: [Rochefort, hasSubdivision, Wavreille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wavreille
Context triple: [Rochefort, hasSubdivision, Wavreille]
  • A. Villeré
    Villeré is a French surname associated with individuals such as Marie Laure Villeré.
  • B. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • C. Neuville-sur-Vannes
    Neuville-sur-Vannes is a small commune in the Aube department of north-central France, known historically as the birthplace of French colonial leader Paul de Chomedey, Sieur de Maisonneuve.
  • D. Bois-de-Villers chosen
    Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
  • E. Sury-en-Vaux
    Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea655488190bab168d564d888af completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:44 a.m.