Triple

T3675057
Position Surface form Disambiguated ID Type / Status
Subject Highway 401 E77970 entity
Predicate passesThrough P225 FINISHED
Object Kingston
Kingston is a historic city in eastern Ontario, Canada, located on the shores of Lake Ontario at the head of the St. Lawrence River.
 E21878 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: Kingston | Statement: [Highway 401, passesThrough, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingston
Context triple: [Highway 401, passesThrough, Kingston]
  • A. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • B. Kingston
    Kingston is a common English surname of Anglo-Saxon origin, historically associated with various towns named Kingston in England.
  • C. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • D. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • E. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • 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: Kingston
Triple: [Highway 401, passesThrough, Kingston]
Generated description
Kingston is a historic city in eastern Ontario, Canada, located on the shores of Lake Ontario at the head of the St. Lawrence River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingston
Target entity description: Kingston is a historic city in eastern Ontario, Canada, located on the shores of Lake Ontario at the head of the St. Lawrence River.
  • A. Kingston chosen
    Kingston is a historic Canadian city in eastern Ontario, located where the St. Lawrence River meets Lake Ontario, known for its limestone architecture and role as a former capital of the Province of Canada.
  • B. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • C. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • D. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • E. Kingston
    Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4619cf08190a09a4a820c59cbc4 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f021fe148190af7ba4b36caa0ce2 completed March 14, 2026, 5:20 a.m.
NEDg Description generation batch_69b4f1403de08190b31120a384f08cbb completed March 14, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1fc2e248190a966cace3cc69449 completed March 14, 2026, 5:28 a.m.
Created at: March 8, 2026, 3:25 p.m.