Triple

T8662033
Position Surface form Disambiguated ID Type / Status
Subject Whitewater Region E205570 entity
Predicate hasCommunity P2605 FINISHED
Object LaPasse
LaPasse is a small rural community in eastern Ontario, Canada, situated along the Ottawa River within the township of Whitewater Region.
 E749025 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: LaPasse | Statement: [Whitewater Region, hasCommunity, LaPasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LaPasse
Context triple: [Whitewater Region, hasCommunity, LaPasse]
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • C. Taconnaz
    Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
  • D. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • E. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • 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: LaPasse
Triple: [Whitewater Region, hasCommunity, LaPasse]
Generated description
LaPasse is a small rural community in eastern Ontario, Canada, situated along the Ottawa River within the township of Whitewater Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LaPasse
Target entity description: LaPasse is a small rural community in eastern Ontario, Canada, situated along the Ottawa River within the township of Whitewater Region.
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • C. Taconnaz
    Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
  • D. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • E. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc487147248190b5f1bff836a11e68 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0518248190ba0d3a87d11dff86 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8d530081908f5a52d5d76bd414 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf7c66308190b9fb87bc0ab510a8 completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.