Triple

T10136321
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Saint-Omer E226863 entity
Predicate contains P35 FINISHED
Object Wardrecques
Wardrecques is a small commune in the Pas-de-Calais department in northern France.
 E843304 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: Wardrecques | Statement: [Arrondissement of Saint-Omer, contains, Wardrecques]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wardrecques
Context triple: [Arrondissement of Saint-Omer, contains, Wardrecques]
  • A. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • B. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • C. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • D. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • E. Wattrelos
    Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
  • 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: Wardrecques
Triple: [Arrondissement of Saint-Omer, contains, Wardrecques]
Generated description
Wardrecques is a small commune in the Pas-de-Calais department in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wardrecques
Target entity description: Wardrecques is a small commune in the Pas-de-Calais department in northern France.
  • A. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • B. Carquefou
    Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
  • C. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • D. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • E. Wattrelos
    Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde87fae288190bb4f13e1ae90f50a completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5e4664081908c1821006bd2f57f completed April 5, 2026, 10:44 p.m.
NEDg Description generation batch_69d2e73e4d5081909f0068d3bed583d3 completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7eea4d88190a2ec6d22a83934b3 completed April 5, 2026, 10:53 p.m.
Created at: March 30, 2026, 9:06 p.m.