Triple

T3444066
Position Surface form Disambiguated ID Type / Status
Subject La Haute-Saint-Charles E72632 entity
Predicate contains P35 FINISHED
Object Loretteville
Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
E358871 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: Loretteville | Statement: [La Haute-Saint-Charles, contains, Loretteville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loretteville
Context triple: [La Haute-Saint-Charles, contains, Loretteville]
  • A. Westvale
    Westvale is a residential area in the town of Kirkby in Merseyside, England.
  • B. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • C. Harrisville
    Harrisville is a small village in Rhode Island known for its historic mill buildings and rural New England character.
  • D. Fiskeville
    Fiskeville is a small village located within the town of Cranston in Providence County, Rhode Island.
  • E. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • 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: Loretteville
Triple: [La Haute-Saint-Charles, contains, Loretteville]
Generated description
Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loretteville
Target entity description: Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
  • A. Westvale
    Westvale is a residential area in the town of Kirkby in Merseyside, England.
  • B. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • C. Harrisville
    Harrisville is a small village in Rhode Island known for its historic mill buildings and rural New England character.
  • D. Fiskeville
    Fiskeville is a small village located within the town of Cranston in Providence County, Rhode Island.
  • E. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2a605c8190a0eafdf6f25b1e38 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360da33e081908630e3f29ea01530 completed March 13, 2026, 12:56 a.m.
NEDg Description generation batch_69b3615cf80481908ff305f995d0b176 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b36249b50881909ebae2d35b30cc1c completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.