Triple

T1727736
Position Surface form Disambiguated ID Type / Status
Subject Belleville, Ontario E37535 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Thurlow Ward
Thurlow Ward is a municipal ward that forms part of the City of Belleville in southeastern Ontario, Canada.
 E194932 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: Thurlow Ward | Statement: [Belleville, Ontario, hasNeighbouringMunicipality, Thurlow Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thurlow Ward
Context triple: [Belleville, Ontario, hasNeighbouringMunicipality, Thurlow Ward]
  • A. Baguley ward
    Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
  • B. Haverstock ward
    Haverstock ward is an electoral division within the London Borough of Camden, forming part of the parliamentary constituency of Holborn and St Pancras.
  • C. Partington
    Partington is a suburban town and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England.
  • D. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • E. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • 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: Thurlow Ward
Triple: [Belleville, Ontario, hasNeighbouringMunicipality, Thurlow Ward]
Generated description
Thurlow Ward is a municipal ward that forms part of the City of Belleville in southeastern Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thurlow Ward
Target entity description: Thurlow Ward is a municipal ward that forms part of the City of Belleville in southeastern Ontario, Canada.
  • A. Baguley ward
    Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
  • B. Haverstock ward
    Haverstock ward is an electoral division within the London Borough of Camden, forming part of the parliamentary constituency of Holborn and St Pancras.
  • C. Partington
    Partington is a suburban town and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England.
  • D. Egremont
    Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
  • E. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637c26988190ad5c400856684825 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af329a481908cbd3cf351fabfd5 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957ce41881909f1e214ebf4b08a4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b479bc81908b5f75b5df41f577 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.