Triple

T13312713
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Rouen E317110 entity
Predicate contains P35 FINISHED
Object Oissel
Oissel is a commune in the Seine-Maritime department of the Normandy region in northern France, situated near the city of Rouen.
 E1033263 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: Oissel | Statement: [arrondissement of Rouen, contains, Oissel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oissel
Context triple: [arrondissement of Rouen, contains, Oissel]
  • A. Valenciennes
    Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
  • B. Yvoir
    Yvoir is a small municipality and village in the Walloon region of Belgium, known for its scenic location along the Meuse River.
  • C. Leulinghem
    Leulinghem is a village in northern France historically notable as the site where a major truce was concluded during the Hundred Years' War.
  • D. Rethel
    Rethel is a small historic town in northeastern France that serves as an administrative and commercial center in the Ardennes region.
  • E. Creil
    Creil is a commuter town in northern France’s Oise department, known as a regional rail hub connecting Paris with Picardy via major train and RER lines.
  • 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: Oissel
Triple: [arrondissement of Rouen, contains, Oissel]
Generated description
Oissel is a commune in the Seine-Maritime department of the Normandy region in northern France, situated near the city of Rouen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oissel
Target entity description: Oissel is a commune in the Seine-Maritime department of the Normandy region in northern France, situated near the city of Rouen.
  • A. Valenciennes
    Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
  • B. Yvoir
    Yvoir is a small municipality and village in the Walloon region of Belgium, known for its scenic location along the Meuse River.
  • C. Leulinghem
    Leulinghem is a village in northern France historically notable as the site where a major truce was concluded during the Hundred Years' War.
  • D. Rethel
    Rethel is a small historic town in northeastern France that serves as an administrative and commercial center in the Ardennes region.
  • E. Creil
    Creil is a commuter town in northern France’s Oise department, known as a regional rail hub connecting Paris with Picardy via major train and RER lines.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e7b9a48190a33b04df8ad45ed8 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b868608190971c38f26b61cf28 completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:29 p.m.