Triple

T2923725
Position Surface form Disambiguated ID Type / Status
Subject Rhône (department) E78793 entity
Predicate contains P35 FINISHED
Object L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
 E383187 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: L’Arbresle | Statement: [Rhône (department), contains, L’Arbresle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L’Arbresle
Context triple: [Rhône (department), contains, L’Arbresle]
  • A. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Clessé
    Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
  • D. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • E. Chêne-Bourg
    Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
  • 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: L’Arbresle
Triple: [Rhône (department), contains, L’Arbresle]
Generated description
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L’Arbresle
Target entity description: L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • A. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Clessé
    Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
  • D. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • E. Chêne-Bourg
    Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97bf2df88190bd4f1e90d4656507 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae657ec81909e8a99e4ccd95bfc completed March 14, 2026, 3:49 a.m.
NEDg Description generation batch_69b4db5f1c0881909a9696a727fac5d4 completed March 14, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc1f3cc48190b1b53bc88a0c3577 completed March 14, 2026, 3:55 a.m.
Created at: March 8, 2026, 2:55 p.m.