Triple

T13483548
Position Surface form Disambiguated ID Type / Status
Subject Reims-Maison-Blanche station E318434 entity
Predicate hasName P744 FINISHED
Object Reims-Maison-Blanche
Reims-Maison-Blanche is a railway station serving the city of Reims in the Marne department of northeastern France.
E1042012 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: Reims-Maison-Blanche | Statement: [Reims-Maison-Blanche station, hasName, Reims-Maison-Blanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reims-Maison-Blanche
Context triple: [Reims-Maison-Blanche station, hasName, Reims-Maison-Blanche]
  • A. La Roche-Guyon
    La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
  • B. Champenois
    Champenois is a Romance regional language historically spoken in parts of northeastern France and adjacent areas of Wallonia in Belgium.
  • C. Boucicaut
    Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • D. Delamotte
    Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
  • E. Poiccart
    Poiccart is one of the vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
  • 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: Reims-Maison-Blanche
Triple: [Reims-Maison-Blanche station, hasName, Reims-Maison-Blanche]
Generated description
Reims-Maison-Blanche is a railway station serving the city of Reims in the Marne department of northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reims-Maison-Blanche
Target entity description: Reims-Maison-Blanche is a railway station serving the city of Reims in the Marne department of northeastern France.
  • A. La Roche-Guyon
    La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
  • B. Champenois
    Champenois is a Romance regional language historically spoken in parts of northeastern France and adjacent areas of Wallonia in Belgium.
  • C. Boucicaut
    Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • D. Delamotte
    Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
  • E. Poiccart
    Poiccart is one of the vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3868ec8190a6a1803018d4f2d8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463715dc8190a70a17b3ea661006 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74bac36e081909dae786e14883e3c completed May 3, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_69f74c5195188190bad111b301713426 completed May 3, 2026, 1:23 p.m.
Created at: April 9, 2026, 9:42 p.m.