Triple

T3190011
Position Surface form Disambiguated ID Type / Status
Subject Ville-d'Avray E66798 entity
Predicate locatedNear P294 FINISHED
Object Sèvres E104880 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: Sèvres | Statement: [Ville-d'Avray, locatedNear, Sèvres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sèvres
Context triple: [Ville-d'Avray, locatedNear, Sèvres]
  • A. Sèvres chosen
    Sèvres is a commune in the southwestern suburbs of Paris, France, historically notable as the site where the post–World War I Treaty of Sèvres was concluded.
  • B. Aubusson
    Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
  • C. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • D. Jouy-en-Josas
    Jouy-en-Josas is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for hosting the HEC Paris business school.
  • E. Versailles
    Versailles is a historic French city best known for the opulent Palace of Versailles, a former royal residence and a symbol of absolute monarchy and French cultural grandeur.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e67e948190afbd9cc6a3ade415 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.