Triple

T10485800
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 8 E247292 entity
Predicate hasStation P35 FINISHED
Object Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
E1046203 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: Michel Bizot | Statement: [Paris Métro Line 8, hasStation, Michel Bizot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Bizot
Context triple: [Paris Métro Line 8, hasStation, Michel Bizot]
  • A. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • B. Michel Bouvier
    Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
  • C. Michel Pinseau
    Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
  • D. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • E. Bruno Barbey
    Bruno Barbey was a renowned French-Moroccan photojournalist celebrated for his vivid color photography and extensive work documenting political unrest and cultural life around the world.
  • 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: Michel Bizot
Triple: [Paris Métro Line 8, hasStation, Michel Bizot]
Generated description
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michel Bizot
Target entity description: Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
  • A. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • B. Michel Bouvier
    Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
  • C. Michel Pinseau
    Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
  • D. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • E. Bruno Barbey
    Bruno Barbey was a renowned French-Moroccan photojournalist celebrated for his vivid color photography and extensive work documenting political unrest and cultural life around the world.
  • 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_69f75d756bd08190a79adc9a2e6188ed completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75e30545c8190b47bd1e06411a163 completed May 3, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f75e9fc1508190800291a16840a9a8 completed May 3, 2026, 2:41 p.m.
Created at: April 6, 2026, 12:23 p.m.