Triple

T3565146
Position Surface form Disambiguated ID Type / Status
Subject Delmenhorst E75428 entity
Predicate hasTwinTown P919 FINISHED
Object Allonnes
Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
E410220 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: Allonnes | Statement: [Delmenhorst, hasTwinTown, Allonnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allonnes
Context triple: [Delmenhorst, hasTwinTown, Allonnes]
  • A. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • B. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • E. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • 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: Allonnes
Triple: [Delmenhorst, hasTwinTown, Allonnes]
Generated description
Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allonnes
Target entity description: Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
  • A. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • B. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Fauvillers
    Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
  • E. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a8f6288190928479f5bea32245 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56278b2c881908329ab4522ba7e24 completed March 14, 2026, 1:28 p.m.
NEDg Description generation batch_69b563ced83c81908d7eff6a54b3b66c completed March 14, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b564893f44819086ffe89101217f53 completed March 14, 2026, 1:37 p.m.
Created at: March 8, 2026, 3:21 p.m.