Triple

T10485793
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 8 E247292 entity
Predicate hasStation P35 FINISHED
Object Chemin Vert
Chemin Vert is a Paris Métro station located in the 11th arrondissement, serving the historic Marais district.
 E866871 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: Chemin Vert | Statement: [Paris Métro Line 8, hasStation, Chemin Vert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chemin Vert
Context triple: [Paris Métro Line 8, hasStation, Chemin Vert]
  • A. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • B. La Marche Verte
    La Marche Verte is the French name for the 1975 mass demonstration organized by Morocco to assert its claim over the Spanish-controlled territory of Western Sahara.
  • C. Verger
    Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
  • D. Vignon
    Vignon is a French surname associated with several notable figures, including architects, artists, and writers.
  • E. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • 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: Chemin Vert
Triple: [Paris Métro Line 8, hasStation, Chemin Vert]
Generated description
Chemin Vert is a Paris Métro station located in the 11th arrondissement, serving the historic Marais district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chemin Vert
Target entity description: Chemin Vert is a Paris Métro station located in the 11th arrondissement, serving the historic Marais district.
  • A. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • B. La Marche Verte
    La Marche Verte is the French name for the 1975 mass demonstration organized by Morocco to assert its claim over the Spanish-controlled territory of Western Sahara.
  • C. Verger
    Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
  • D. Vignon
    Vignon is a French surname associated with several notable figures, including architects, artists, and writers.
  • E. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096988ec81908d7518b09256c145 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc7fc0cc8190922b7b783d37f542 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.