Triple

T8465911
Position Surface form Disambiguated ID Type / Status
Subject Township of King E200159 entity
Predicate hasCommunity P2605 FINISHED
Object Temperanceville
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
 E737820 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: Temperanceville | Statement: [Township of King, hasCommunity, Temperanceville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Temperanceville
Context triple: [Township of King, hasCommunity, Temperanceville]
  • A. Whitesville
    Whitesville is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • B. Hattieville
    Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
  • C. Ladyville
    Ladyville is a suburban community in Belize that serves as a major residential area near Belize City and is known for its proximity to the country’s main international airport.
  • D. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • E. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • 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: Temperanceville
Triple: [Township of King, hasCommunity, Temperanceville]
Generated description
Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Temperanceville
Target entity description: Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
  • A. Whitesville
    Whitesville is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • B. Hattieville
    Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
  • C. Ladyville
    Ladyville is a suburban community in Belize that serves as a major residential area near Belize City and is known for its proximity to the country’s main international airport.
  • D. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • E. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d17ec8819093becdaec750aff5 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dda5230819087ab2509eb958fc2 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4f587a7081908c357f82bc28a1aa completed April 2, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ce5059e0f48190b8ff08253337f430 completed April 2, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:11 p.m.