Triple

T10485776
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 8 E247292 entity
Predicate hasStation P35 FINISHED
Object Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
 E866867 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: Boucicaut | Statement: [Paris Métro Line 8, hasStation, Boucicaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boucicaut
Context triple: [Paris Métro Line 8, hasStation, Boucicaut]
  • A. Noailles
    Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
  • B. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • C. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • D. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • E. Goutte d'Or
    Goutte d'Or is a vibrant, historically working-class neighborhood in Paris known for its diverse immigrant communities, bustling markets, and rich North and West African cultural influences.
  • 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: Boucicaut
Triple: [Paris Métro Line 8, hasStation, Boucicaut]
Generated description
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boucicaut
Target entity description: Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • A. Noailles
    Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
  • B. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • C. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • D. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • E. Goutte d'Or
    Goutte d'Or is a vibrant, historically working-class neighborhood in Paris known for its diverse immigrant communities, bustling markets, and rich North and West African cultural influences.
  • 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.