Triple

T9949127
Position Surface form Disambiguated ID Type / Status
Subject Sombreffe E195283 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Boignée
Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
 E843933 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: Boignée | Statement: [Sombreffe, hasMunicipalSection, Boignée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boignée
Context triple: [Sombreffe, hasMunicipalSection, Boignée]
  • A. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • 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. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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: Boignée
Triple: [Sombreffe, hasMunicipalSection, Boignée]
Generated description
Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boignée
Target entity description: Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • A. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • 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. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb65a4e6c8190968192a24aad1b7d completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e531dfa48190b57fcd2444de1ab7 completed April 5, 2026, 10:41 p.m.
NEDg Description generation batch_69d2e6f0aa988190aa9a866afcc2a1a2 completed April 5, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2e78384f48190abb7bdd7fcadcd9a completed April 5, 2026, 10:51 p.m.
Created at: March 30, 2026, 8:45 p.m.