Triple

T21542007
Position Surface form Disambiguated ID Type / Status
Subject Ontario Highway 60 E531514 entity
Predicate passesThrough P225 FINISHED
Object Eganville NE NERFINISHED

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: Eganville | Statement: [Ontario Highway 60, passesThrough, Eganville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eganville
Context triple: [Ontario Highway 60, passesThrough, Eganville]
  • A. Eganville chosen
    Eganville is a small community in eastern Ontario, Canada, known for its location along the Bonnechere River and nearby limestone caves.
  • B. Campbellford
    Campbellford is a small town in Ontario, Canada, known for its scenic riverside setting, historic downtown, and role as a stop along the Trent–Severn Waterway.
  • C. Valleyfield
    Valleyfield is a locality known for its association with the historic Valleyfield mining area.
  • D. Petrolia
    Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
  • E. Botwood
    Botwood is a small coastal town in central Newfoundland and Labrador, Canada, historically known as a key seaport and World War II military base.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d12b264819096f844b5833198aa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:28 p.m.