Triple

T4375763
Position Surface form Disambiguated ID Type / Status
Subject Madame de Staël E99001 entity
Predicate residence P75 FINISHED
Object Coppet, Switzerland E220712 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: Coppet, Switzerland | Statement: [Madame de Staël, residence, Coppet, Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coppet, Switzerland
Context triple: [Madame de Staël, residence, Coppet, Switzerland]
  • A. Coppet chosen
    Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
  • B. La Sarraz, Switzerland
    La Sarraz, Switzerland is a small historic town in the canton of Vaud known for its medieval castle and its role in early 20th-century modern architecture movements.
  • C. Pully, Switzerland
    Pully, Switzerland is a lakeside municipality near Lausanne in the canton of Vaud, known as a residential suburb and administrative location for various international organizations.
  • D. Winterthur, Switzerland
    Winterthur, Switzerland is a city in the canton of Zurich known for its rich industrial heritage, vibrant cultural scene, and numerous museums and gardens.
  • E. Aigle, Switzerland
    Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523d4e888190b4367ed6aa17d463 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ddcbc08190baac9dbe041a66ad completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:18 p.m.