Triple

T2533214
Position Surface form Disambiguated ID Type / Status
Subject 18th arrondissement of Paris E56209 entity
Predicate contains P35 FINISHED
Object Chapelle
Chapelle is a neighborhood in northern Paris known for its multicultural character and proximity to major railway hubs like Gare du Nord and Gare de l'Est.
E274515 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: Chapelle | Statement: [18th arrondissement of Paris, contains, Chapelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapelle
Context triple: [18th arrondissement of Paris, contains, Chapelle]
  • A. Choulex
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Chapelle Notre-Dame-du-Haut
    Chapelle Notre-Dame-du-Haut is a renowned modernist Catholic chapel in Ronchamp, France, designed by architect Le Corbusier and celebrated for its sculptural form and innovative use of light.
  • D. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • E. Churche
    Churche is an alternative spelling variant of the word "Church," typically referring to a Christian place of worship or the associated religious institution.
  • 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: Chapelle
Triple: [18th arrondissement of Paris, contains, Chapelle]
Generated description
Chapelle is a neighborhood in northern Paris known for its multicultural character and proximity to major railway hubs like Gare du Nord and Gare de l'Est.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chapelle
Target entity description: Chapelle is a neighborhood in northern Paris known for its multicultural character and proximity to major railway hubs like Gare du Nord and Gare de l'Est.
  • A. Choulex
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • D. Churche
    Churche is an alternative spelling variant of the word "Church," typically referring to a Christian place of worship or the associated religious institution.
  • E. de Chomedey
    de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27afe7c8190984e10d3f3d5586b completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bbc416c81908774782420b54664 completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af4c5e49dc8190920612a8b0f5b3f7 completed March 9, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69af4cd3bcc8819091589f0aa27ddc5d completed March 9, 2026, 10:42 p.m.
Created at: March 6, 2026, 9:47 p.m.