Triple

T8601897
Position Surface form Disambiguated ID Type / Status
Subject Nanaimo Airport E203696 entity
Predicate serves P98 FINISHED
Object Nanaimo E38870 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: Nanaimo | Statement: [Nanaimo Airport, serves, Nanaimo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanaimo
Context triple: [Nanaimo Airport, serves, Nanaimo]
  • A. Nanaimo chosen
    Nanaimo is a coastal city on the east side of Vancouver Island in British Columbia, Canada, known for its harbor, ferry connections, and namesake dessert bar.
  • B. Sooke
    Sooke is a small coastal community on the southern tip of Vancouver Island in British Columbia, known for its natural scenery, outdoor recreation, and proximity to Victoria.
  • C. Sechelt
    Sechelt is a coastal town on British Columbia’s Sunshine Coast known for its scenic waterfront, outdoor recreation, and role as a regional service and cultural center.
  • D. Port Alberni
    Port Alberni is a small city on central Vancouver Island in British Columbia, Canada, known for its forestry, fishing, and access to outdoor recreation.
  • E. Saanich
    Saanich is a large district municipality on southern Vancouver Island in British Columbia, Canada, known for its mix of suburban neighborhoods, rural landscapes, and extensive parks and coastline.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065ac77c08190af1c13cce87e0991 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 6:24 p.m.