Triple

T7091459
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Caen E165203 entity
Predicate contains P35 FINISHED
Object Épron
Épron is a small commune in the Calvados department of the Normandy region in northwestern France.
 E643730 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: Épron | Statement: [Arrondissement of Caen, contains, Épron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Épron
Context triple: [Arrondissement of Caen, contains, Épron]
  • A. Bessin
    Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
  • B. Bièvres
    Bièvres is a commune in the Essonne department in the southern suburbs of Paris, France, known for its picturesque valley and proximity to the capital.
  • C. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • D. Pacy-sur-Eure
    Pacy-sur-Eure is a small commune in northern France’s Normandy region, known for its picturesque riverside setting and historic town center.
  • E. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • 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: Épron
Triple: [Arrondissement of Caen, contains, Épron]
Generated description
Épron is a small commune in the Calvados department of the Normandy region in northwestern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Épron
Target entity description: Épron is a small commune in the Calvados department of the Normandy region in northwestern France.
  • A. Bessin
    Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
  • B. Bièvres
    Bièvres is a commune in the Essonne department in the southern suburbs of Paris, France, known for its picturesque valley and proximity to the capital.
  • C. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • D. Pacy-sur-Eure
    Pacy-sur-Eure is a small commune in northern France’s Normandy region, known for its picturesque riverside setting and historic town center.
  • E. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e53132288190b6da361d9c7218ab completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31e3fec8190b22da130f7cbaaf9 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a426cc6c8190b3d3cce1233dd068 completed March 28, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7a48162e081909e03ed01f305c46f completed March 28, 2026, 9:50 a.m.
Created at: March 27, 2026, 2:41 p.m.