Triple

T10755551
Position Surface form Disambiguated ID Type / Status
Subject Credit River watershed E253681 entity
Predicate containsMunicipality P852 FINISHED
Object Orangeville E51609 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: Orangeville | Statement: [Credit River watershed, containsMunicipality, Orangeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orangeville
Context triple: [Credit River watershed, containsMunicipality, Orangeville]
  • A. Orangeville, Ontario chosen
    Orangeville, Ontario is a small town in south-central Ontario, Canada, known as a regional commercial hub for the surrounding rural communities and for its historic downtown and arts scene.
  • B. 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.
  • C. Welland
    Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
  • D. Welland
    Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
  • E. Peachland
    Peachland is a small lakeside town in British Columbia, Canada, known for its scenic setting on the shores of Okanagan Lake and its tourism and recreation-based community.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9e224c819099d16aba77322812 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1548affbc8190bbca099f8c8d4910 completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:15 p.m.