Triple

T3978586
Position Surface form Disambiguated ID Type / Status
Subject The Channel of Gravelines E85701 entity
Predicate locationOfSetting P40 FINISHED
Object Gravelines
Gravelines is a coastal commune in northern France known for its historic fortifications and strategic position along the English Channel.
 E403436 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: Gravelines | Statement: [The Channel of Gravelines, locationOfSetting, Gravelines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gravelines
Context triple: [The Channel of Gravelines, locationOfSetting, Gravelines]
  • A. Boulogne-sur-Mer
    Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
  • B. Calais
    Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
  • C. Wattrelos
    Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
  • D. Ostend
    Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
  • E. Saint-Omer
    Saint-Omer is a historic town in northern France known for its medieval architecture, strategic military importance, and role in Franco-Spanish conflicts.
  • 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: Gravelines
Triple: [The Channel of Gravelines, locationOfSetting, Gravelines]
Generated description
Gravelines is a coastal commune in northern France known for its historic fortifications and strategic position along the English Channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gravelines
Target entity description: Gravelines is a coastal commune in northern France known for its historic fortifications and strategic position along the English Channel.
  • A. Boulogne-sur-Mer
    Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
  • B. Calais
    Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
  • C. Wattrelos
    Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
  • D. Ostend
    Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
  • E. Saint-Omer
    Saint-Omer is a historic town in northern France known for its medieval architecture, strategic military importance, and role in Franco-Spanish conflicts.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b9cdd08190b193735367b0b3cf completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5401dd24481908d143a9da6786757 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b5417d951c8190974f8449dd643eab completed March 14, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69b5421a2fd4819094e82aec70837aeb completed March 14, 2026, 11:10 a.m.
Created at: March 9, 2026, 3:33 p.m.