Triple

T3280206
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Bonneville E68853 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Cornier
Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
 E343887 NE FINISHED

How this triple was built (4 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: Cornier | Statement: [Arrondissement of Bonneville, containsAdministrativeTerritorialEntity, Cornier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cornier
Context triple: [Arrondissement of Bonneville, containsAdministrativeTerritorialEntity, Cornier]
  • A. Wegmann & Co
    Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
  • B. Grocon
    Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
  • C. Schueller
    Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
  • D. Murphey
    Murphey is a less common spelling variant of the surname Murphy, which is of Irish origin.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cornier
Triple: [Arrondissement of Bonneville, containsAdministrativeTerritorialEntity, Cornier]
Generated description
Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cornier
Target entity description: Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • A. Wegmann & Co
    Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
  • B. Grocon
    Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
  • C. Schueller
    Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
  • D. Murphey
    Murphey is a less common spelling variant of the surname Murphy, which is of Irish origin.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • F. None of above. chosen

Provenance (5 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0166c8c81909cb0a580ef319be3 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e851d2bc8190ba887cd1c81c880d completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8e42ecc8190b81d1b64f9fba0c1 completed March 12, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69b2e954ec18819096f31feb9e985b6a completed March 12, 2026, 4:27 p.m.
Created at: March 8, 2026, 3:10 p.m.