Triple

T8174170
Position Surface form Disambiguated ID Type / Status
Subject Highway 406 E190899 entity
Predicate passesNear P416 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: [Highway 406, passesNear, Welland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welland
Context triple: [Highway 406, passesNear, 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb480a7ac4819088fabd5bec6ba2e5 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd347e2d2c81909b3c8d0f922e7c37 completed April 1, 2026, 3:06 p.m.
Created at: March 30, 2026, 5:40 p.m.