Triple

T9568364
Position Surface form Disambiguated ID Type / Status
Subject Port Colborne E230845 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Sherkston
Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
E806810 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: Sherkston | Statement: [Port Colborne, hasNeighbourhood, Sherkston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherkston
Context triple: [Port Colborne, hasNeighbourhood, Sherkston]
  • A. Stanground
    Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
  • B. Flotterstone
    Flotterstone is a popular walking and recreation area on the northern edge of the Pentland Hills near Edinburgh, known for its scenic reservoir, trails, and access to the surrounding hills.
  • C. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • D. Sharston
    Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
  • E. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • 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: Sherkston
Triple: [Port Colborne, hasNeighbourhood, Sherkston]
Generated description
Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sherkston
Target entity description: Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
  • A. Stanground
    Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
  • B. Flotterstone
    Flotterstone is a popular walking and recreation area on the northern edge of the Pentland Hills near Edinburgh, known for its scenic reservoir, trails, and access to the surrounding hills.
  • C. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • D. Sharston
    Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
  • E. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9987cb0c8190af32a1193de54890 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152b5b40c81909a84e34a944abfd0 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d153c26b8481908298b32918666562 completed April 4, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69d15445e7a88190accd19c53a6170bb completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:04 p.m.