Triple

T9916498
Position Surface form Disambiguated ID Type / Status
Subject Thorold E185882 entity
Predicate locatedNear P294 FINISHED
Object Welland E45849 NE FINISHED

How this triple was built (2 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: Welland | Statement: [Thorold, locatedNear, Welland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welland
Context triple: [Thorold, locatedNear, Welland]
  • A. Welland chosen
    Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
  • B. Welland
    Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
  • C. Bowmanville
    Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
  • D. Orillia
    Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
  • E. Alliston
    Alliston is a community in New Tecumseth, Ontario, Canada, known historically as the birthplace of insulin co-discoverer Sir Frederick Banting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb540195881908f25f7dde5c66a75 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369657ecc81909d0c710ca919602e completed April 6, 2026, 8:05 a.m.
Created at: March 30, 2026, 8:42 p.m.