Triple

T717292
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Alès
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
 E103781 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: Alès | Statement: [Occitanie, containsCity, Alès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alès
Context triple: [Occitanie, containsCity, Alès]
  • A. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • 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. Veyrier
    Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
  • D. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • E. Côte de Sézanne
    Côte de Sézanne is a lesser-known Champagne-producing area in northeastern France, recognized for its chalky soils and Chardonnay-focused vineyards that contribute fresh, elegant base wines to many Champagne blends.
  • 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: Alès
Triple: [Occitanie, containsCity, Alès]
Generated description
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alès
Target entity description: Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • A. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • 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. Veyrier
    Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
  • D. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • E. Côte de Sézanne
    Côte de Sézanne is a lesser-known Champagne-producing area in northeastern France, recognized for its chalky soils and Chardonnay-focused vineyards that contribute fresh, elegant base wines to many Champagne blends.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83709248190bee17ec028b12bae completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b93aed5c8190b5a588ed4a5eb94d completed March 4, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9bb13f08190ad75518ba81b210d completed March 4, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:37 p.m.