Triple

T20128265
Position Surface form Disambiguated ID Type / Status
Subject Russell County E490814 entity
Predicate containsSettlement P847 FINISHED
Object Casselman
Casselman is a small community located within Russell County in the Canadian province of Ontario.
 E452391 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: Casselman | Statement: [Russell County, containsSettlement, Casselman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Casselman
Context triple: [Russell County, containsSettlement, Casselman]
  • A. Casselman
    Casselman is a small bilingual village and municipality in Eastern Ontario, Canada, known for its francophone community and location along the South Nation River.
  • B. Luske
    Luske is a surname most notably associated with Hamilton Luske, an American animator and film director for Walt Disney Studios.
  • C. Mackey
    Mackey is a surname most prominently associated with John Mackey, the co-founder and longtime CEO of Whole Foods Market.
  • D. Hassler
    Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
  • E. Laird
    Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
  • 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: Casselman
Triple: [Russell County, containsSettlement, Casselman]
Generated description
Casselman is a small community located within Russell County in the Canadian province of Ontario.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Casselman
Target entity description: Casselman is a small community located within Russell County in the Canadian province of Ontario.
  • A. Casselman chosen
    Casselman is a small bilingual village and municipality in Eastern Ontario, Canada, known for its francophone community and location along the South Nation River.
  • B. Luske
    Luske is a surname most notably associated with Hamilton Luske, an American animator and film director for Walt Disney Studios.
  • C. Mackey
    Mackey is a surname most prominently associated with John Mackey, the co-founder and longtime CEO of Whole Foods Market.
  • D. Hassler
    Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
  • E. Laird
    Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
  • F. None of above.

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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6675fe3d48190b0c20b483a951e68 completed April 20, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082ddbae5481908ee89666afa6296e completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ed267588190ac209a5f5fcdac16 completed May 16, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a082f5360ac8190bdfe653cb48c6ecb completed May 16, 2026, 8:48 a.m.
Created at: April 11, 2026, 11:31 p.m.