Triple

T1321850
Position Surface form Disambiguated ID Type / Status
Subject Chatham-Kent E28234 entity
Predicate hasCommunity P2605 FINISHED
Object Thamesville
Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
E151248 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: Thamesville | Statement: [Chatham-Kent, hasCommunity, Thamesville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thamesville
Context triple: [Chatham-Kent, hasCommunity, Thamesville]
  • A. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • B. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • E. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • 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: Thamesville
Triple: [Chatham-Kent, hasCommunity, Thamesville]
Generated description
Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thamesville
Target entity description: Thamesville is a small community in southwestern Ontario, Canada, known for its rural character and location within the municipality of Chatham-Kent.
  • A. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • B. Wilcote
    Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
  • C. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • D. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • E. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2b8d988190b0d84e886629ed05 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbfae49d88190988ba80e24e8cc62 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc08672908190b8f411d1378a890a completed March 8, 2026, 12:19 a.m.
Created at: March 1, 2026, 7:55 p.m.