Triple

T11110387
Position Surface form Disambiguated ID Type / Status
Subject Stoumont E262738 entity
Predicate contains P35 FINISHED
Object Ville-au-Bois
Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
 E908660 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: Ville-au-Bois | Statement: [Stoumont, contains, Ville-au-Bois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ville-au-Bois
Context triple: [Stoumont, contains, Ville-au-Bois]
  • A. Marly-la-Ville
    Marly-la-Ville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • B. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • C. Dubreuilville
    Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
  • D. Émanville
    Émanville is a small French commune located in northern France within the Eure department of the Normandy region.
  • E. Butte-aux-Cailles
    Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
  • 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: Ville-au-Bois
Triple: [Stoumont, contains, Ville-au-Bois]
Generated description
Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ville-au-Bois
Target entity description: Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
  • A. Marly-la-Ville
    Marly-la-Ville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • B. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • C. Dubreuilville
    Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
  • D. Émanville
    Émanville is a small French commune located in northern France within the Eure department of the Normandy region.
  • E. Butte-aux-Cailles
    Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462e5c08c8190bba2e3c8ec82051b completed April 19, 2026, 5:06 a.m.
NEDg Description generation batch_69e46d29eed081908c329d19554c8961 completed April 19, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_69e46ddca91c8190b6da43b820b9ad31 completed April 19, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:27 p.m.