Triple

T5848787
Position Surface form Disambiguated ID Type / Status
Subject Wellington County, Ontario E129776 entity
Predicate containsMunicipality P852 FINISHED
Object Minto
Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town character.
E552024 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: Minto | Statement: [Wellington County, Ontario, containsMunicipality, Minto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minto
Context triple: [Wellington County, Ontario, containsMunicipality, Minto]
  • A. Maitland
    Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
  • B. Maitland
    Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
  • C. Camperdown
    Camperdown is an inner-western suburb of Sydney, Australia, known for housing the main campus of the University of Sydney and major medical and research facilities.
  • D. Port Morris
    Port Morris is a waterfront industrial and residential neighborhood in the South Bronx of New York City.
  • E. Belair
    Belair is a primarily residential district of Luxembourg City known for its quiet streets, schools, and proximity to the city center.
  • 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: Minto
Triple: [Wellington County, Ontario, containsMunicipality, Minto]
Generated description
Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minto
Target entity description: Minto is a small rural town and municipality in southwestern Ontario, Canada, known for its agricultural community and small-town character.
  • A. Maitland
    Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
  • B. Maitland
    Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
  • C. Camperdown
    Camperdown is an inner-western suburb of Sydney, Australia, known for housing the main campus of the University of Sydney and major medical and research facilities.
  • D. Port Morris
    Port Morris is a waterfront industrial and residential neighborhood in the South Bronx of New York City.
  • E. Belair
    Belair is a primarily residential district of Luxembourg City known for its quiet streets, schools, and proximity to the city center.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035145a0c8190941945a83a3f2416 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b052288190ace51e65f1d888ab completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a5ab04e481909dca08da3e851088 completed March 23, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0a63aca6c8190bd33b063c8285e34 completed March 23, 2026, 2:32 a.m.
Created at: March 22, 2026, 3:55 p.m.