Triple

T602571
Position Surface form Disambiguated ID Type / Status
Subject British Columbia E11524 entity
Predicate contains P35 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: [British Columbia, contains, Nanaimo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanaimo
Context triple: [British Columbia, contains, 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. Kamloops
    Kamloops is a city in south-central British Columbia, Canada, known as a regional hub at the junction of the North and South Thompson Rivers.
  • C. Kelowna
    Kelowna is a mid-sized city in the Okanagan Valley of south-central British Columbia, Canada, known for its wineries, orchards, and lakeside recreation on Okanagan Lake.
  • D. Victoria, British Columbia
    Victoria, British Columbia is the capital city of the Canadian province of British Columbia, known for its historic architecture, coastal scenery, and mild climate on the southern tip of Vancouver Island.
  • E. Vancouver
    Vancouver is a major coastal city in western Canada known for its scenic natural surroundings, multicultural population, and role as a hub for film, technology, and tourism.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7c08648190bbffc8adb4148987 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c236108190a8784b6561ca8bca completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:35 p.m.