Triple

T2840918
Position Surface form Disambiguated ID Type / Status
Subject Ardèche E62464 entity
Predicate subprefecture P9697 FINISHED
Object Largentière
Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
 E376910 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: Largentière | Statement: [Ardèche, subprefecture, Largentière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Largentière
Context triple: [Ardèche, subprefecture, Largentière]
  • A. Laumière
    Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • D. Clessé
    Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
  • E. 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.
  • 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: Largentière
Triple: [Ardèche, subprefecture, Largentière]
Generated description
Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Largentière
Target entity description: Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
  • A. Laumière
    Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • D. Clessé
    Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
  • E. 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.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf16d0c08190bb8de4a4160b4414 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4881323dc81908e3e42ce1d0f8a0d completed March 13, 2026, 9:56 p.m.
NEDg Description generation batch_69b488d643d08190bd32508a5f3a3e38 completed March 13, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_69b48dd73e64819085063b4b5f76dd0c completed March 13, 2026, 10:21 p.m.
Created at: March 6, 2026, 10:01 p.m.