Triple

T21302443
Position Surface form Disambiguated ID Type / Status
Subject Île-de-France tramway Line 2 E525102 entity
Predicate hasStation P35 FINISHED
Object Charlebourg
Charlebourg is a tram stop on Île-de-France tramway Line 2 serving the western suburbs of Paris.
 E1477516 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: Charlebourg | Statement: [Île-de-France tramway Line 2, hasStation, Charlebourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlebourg
Context triple: [Île-de-France tramway Line 2, hasStation, Charlebourg]
  • A. Charlesbourg
    Charlesbourg is a residential borough of Quebec City known for its historic district, suburban neighborhoods, and proximity to the city’s urban core.
  • B. Guernanville
    Guernanville is a small commune in northern France, located within the Eure department in the Normandy region.
  • C. Coquilhatville
    Coquilhatville was the former colonial-era name of the city now known as Mbandaka in the Democratic Republic of the Congo.
  • D. Dubreuilville
    Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
  • E. Ville-au-Bois
    Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
  • 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: Charlebourg
Triple: [Île-de-France tramway Line 2, hasStation, Charlebourg]
Generated description
Charlebourg is a tram stop on Île-de-France tramway Line 2 serving the western suburbs of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlebourg
Target entity description: Charlebourg is a tram stop on Île-de-France tramway Line 2 serving the western suburbs of Paris.
  • A. Charlesbourg
    Charlesbourg is a residential borough of Quebec City known for its historic district, suburban neighborhoods, and proximity to the city’s urban core.
  • B. Guernanville
    Guernanville is a small commune in northern France, located within the Eure department in the Normandy region.
  • C. Coquilhatville
    Coquilhatville was the former colonial-era name of the city now known as Mbandaka in the Democratic Republic of the Congo.
  • D. Dubreuilville
    Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
  • E. Ville-au-Bois
    Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed108ec81909042b00955d5cd0c completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f592488819098c54b433ce5e67e completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a09a033f5108190b8000934050ad55e completed May 17, 2026, 11:02 a.m.
Created at: April 16, 2026, 4:05 p.m.