Triple

T18512964
Position Surface form Disambiguated ID Type / Status
Subject Alfred and Plantagenet E452386 entity
Predicate hasSettlement P1068 FINISHED
Object Lefaivre
Lefaivre is a small rural community located within the township of Alfred and Plantagenet in eastern Ontario, Canada, along the Ottawa River.
 E1327306 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: Lefaivre | Statement: [Alfred and Plantagenet, hasSettlement, Lefaivre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lefaivre
Context triple: [Alfred and Plantagenet, hasSettlement, Lefaivre]
  • A. Lefevre
    Lefevre is a surname most notably associated with Canadian actress Rachelle Lefevre, known for her roles in film and television including the Twilight series.
  • B. La Frenais
    La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
  • C. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • 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: Lefaivre
Triple: [Alfred and Plantagenet, hasSettlement, Lefaivre]
Generated description
Lefaivre is a small rural community located within the township of Alfred and Plantagenet in eastern Ontario, Canada, along the Ottawa River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lefaivre
Target entity description: Lefaivre is a small rural community located within the township of Alfred and Plantagenet in eastern Ontario, Canada, along the Ottawa River.
  • A. Lefevre
    Lefevre is a surname most notably associated with Canadian actress Rachelle Lefevre, known for her roles in film and television including the Twilight series.
  • B. La Frenais
    La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
  • C. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53346f9488190bc2e4570564bede0 completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04714cb5dc8190aa02ddac8ef8d166 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a047450095c81909880516fd8fc069c completed May 13, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0474e7e96c8190a89be33c4bd01c46 completed May 13, 2026, 12:56 p.m.
Created at: April 10, 2026, 11:36 a.m.