Triple

T18235949
Position Surface form Disambiguated ID Type / Status
Subject Township of Darlington E436675 entity
Predicate containedSettlement P16159 FINISHED
Object Hampton
Hampton is a small community located within the Township of Darlington in Ontario, Canada.
 E1320669 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: Hampton | Statement: [Township of Darlington, containedSettlement, Hampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hampton
Context triple: [Township of Darlington, containedSettlement, Hampton]
  • A. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • B. Hampton
    Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
  • C. Hampton
    Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
  • D. Hampton
    Hampton is a surname of English origin borne by various notable individuals, including those in the arts and public life.
  • E. Hampton
    Hampton is a suburban railway station in Melbourne, Australia, serving the bayside suburb of Hampton on the city’s Sandringham line.
  • 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: Hampton
Triple: [Township of Darlington, containedSettlement, Hampton]
Generated description
Hampton is a small community located within the Township of Darlington in Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hampton
Target entity description: Hampton is a small community located within the Township of Darlington in Ontario, Canada.
  • A. Hampton
    Hampton is a residential suburb and developing township located within the city of Peterborough in Cambridgeshire, England.
  • B. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • C. Hampton
    Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
  • D. Hampton
    Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
  • E. Hampton
    Hampton is a suburban railway station in Melbourne, Australia, serving the bayside suburb of Hampton on the city’s Sandringham line.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b69a688190b140961eb298c36e completed April 19, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d76490188190ab22cf33884c0f1b completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d823f4d08190af02626bb3228038 completed May 13, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a03d8b2a8208190a3c346db913cf58c completed May 13, 2026, 1:49 a.m.
Created at: April 10, 2026, 10:33 a.m.