Triple

T18929616
Position Surface form Disambiguated ID Type / Status
Subject Bailleul-en-Vimeu E463065 entity
Predicate hasDemonym P191 FINISHED
Object Bailleulois
Bailleulois is the French demonym referring to inhabitants of the commune of Bailleul-en-Vimeu in northern France.
 E1376976 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: Bailleulois | Statement: [Bailleul-en-Vimeu, hasDemonym, Bailleulois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bailleulois
Context triple: [Bailleul-en-Vimeu, hasDemonym, Bailleulois]
  • A. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • B. Bouvron
    Bouvron is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
  • C. Aubevoye
    Aubevoye is a small commune in the Eure department of northern France, known for its local rural character and community life.
  • D. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • E. Bruyères
    Bruyères is a commune in northeastern France’s Vosges department, known for its World War II liberation during the Battle of Bruyères involving the U.S. Army’s 442nd Regimental Combat Team.
  • 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: Bailleulois
Triple: [Bailleul-en-Vimeu, hasDemonym, Bailleulois]
Generated description
Bailleulois is the French demonym referring to inhabitants of the commune of Bailleul-en-Vimeu in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bailleulois
Target entity description: Bailleulois is the French demonym referring to inhabitants of the commune of Bailleul-en-Vimeu in northern France.
  • A. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • B. Bouvron
    Bouvron is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
  • C. Aubevoye
    Aubevoye is a small commune in the Eure department of northern France, known for its local rural character and community life.
  • D. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • E. Bruyères
    Bruyères is a commune in northeastern France’s Vosges department, known for its World War II liberation during the Battle of Bruyères involving the U.S. Army’s 442nd Regimental Combat Team.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bea84081908fbe657fb4657c0b completed April 20, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a073b12c1c881908a0b6c056be81285 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c19c3b88190a6114d272ebd5fbc completed May 15, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a073d25ba448190a62777b68d2f3136 completed May 15, 2026, 3:35 p.m.
Created at: April 10, 2026, 11:59 a.m.