Triple

T7237391
Position Surface form Disambiguated ID Type / Status
Subject Dundas County E155263 entity
Predicate containsSettlement P847 FINISHED
Object Crysler
Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
 E654797 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: Crysler | Statement: [Dundas County, containsSettlement, Crysler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crysler
Context triple: [Dundas County, containsSettlement, Crysler]
  • A. Chrysler
    Chrysler is a major American automobile manufacturer, historically recognized as one of the United States' "Big Three" car companies alongside General Motors and Ford.
  • B. Dodge
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • C. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • D. DaimlerChrysler
    DaimlerChrysler was a multinational automotive corporation formed by the 1998 merger of Germany’s Daimler-Benz and the U.S. automaker Chrysler, producing vehicles under multiple global brands before later separating.
  • E. DeSoto
    DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
  • 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: Crysler
Triple: [Dundas County, containsSettlement, Crysler]
Generated description
Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crysler
Target entity description: Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
  • A. Chrysler
    Chrysler is a major American automobile manufacturer, historically recognized as one of the United States' "Big Three" car companies alongside General Motors and Ford.
  • B. Dodge
    Dodge is an American automotive brand best known for its performance-oriented cars, muscle vehicles, and trucks.
  • C. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • D. DaimlerChrysler
    DaimlerChrysler was a multinational automotive corporation formed by the 1998 merger of Germany’s Daimler-Benz and the U.S. automaker Chrysler, producing vehicles under multiple global brands before later separating.
  • E. DeSoto
    DeSoto is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea355e888190a97de097158933ca completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e51f35b88190a1d6b12903d93cee completed March 28, 2026, 2:26 p.m.
NEDg Description generation batch_69c7e6671e2c8190aed42aa673540efa completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e6cd820881909ef8fd3bc28d2716 completed March 28, 2026, 2:33 p.m.
Created at: March 27, 2026, 2:55 p.m.