Triple

T7585621
Position Surface form Disambiguated ID Type / Status
Subject Gravesend E179604 entity
Predicate borderedBy P224 FINISHED
Object Mapleton
Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
 E674504 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: Mapleton | Statement: [Gravesend, borderedBy, Mapleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mapleton
Context triple: [Gravesend, borderedBy, Mapleton]
  • A. Mapleton
    Mapleton is a small village in Derbyshire, England, known for its picturesque rural setting in the Peak District near the River Dove.
  • B. Mapleton
    Mapleton is a rural township municipality in Wellington County, Ontario, known for its agricultural landscape and small communities.
  • C. Mapleton
    Mapleton is a small rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic views, rainforest walks, and proximity to Mapleton Falls National Park.
  • D. Barberton
    Barberton is a small industrial city in northeastern Ohio known historically for its manufacturing base and proximity to Akron.
  • E. Barberton
    Barberton is a historic mining town in South Africa’s Mpumalanga province, known for its gold rush heritage and proximity to some of the world’s oldest exposed rocks.
  • 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: Mapleton
Triple: [Gravesend, borderedBy, Mapleton]
Generated description
Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mapleton
Target entity description: Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
  • A. Mapleton
    Mapleton is a small rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic views, rainforest walks, and proximity to Mapleton Falls National Park.
  • B. Mapleton
    Mapleton is a small village in Derbyshire, England, known for its picturesque rural setting in the Peak District near the River Dove.
  • C. Mapleton
    Mapleton is a rural township municipality in Wellington County, Ontario, known for its agricultural landscape and small communities.
  • D. Barberton
    Barberton is a small industrial city in northeastern Ohio known historically for its manufacturing base and proximity to Akron.
  • E. Barberton
    Barberton is a historic mining town in South Africa’s Mpumalanga province, known for its gold rush heritage and proximity to some of the world’s oldest exposed rocks.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f995c8a8819089817bd679640017 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861812e08819097fd14fe2b8fee13 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c862466fd481908ea5772e76a88d95 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862cae0448190859a07db338e1de7 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.