Triple

T174992
Position Surface form Disambiguated ID Type / Status
Subject Ontario E3554 entity
Predicate containsIsland P970 FINISHED
Object Toronto Islands E16871 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: Toronto Islands | Statement: [Ontario, containsIsland, Toronto Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Islands
Context triple: [Ontario, containsIsland, Toronto Islands]
  • A. Toronto Islands chosen
    The Toronto Islands are a chain of small, car-free islands in Lake Ontario that form a popular recreational park area just offshore from downtown Toronto.
  • B. Etobicoke
    Etobicoke is a large suburban district in the western part of Toronto, Ontario, known for its residential neighborhoods, parks, and industrial areas along the waterfront.
  • C. Kingston, Ontario
    Kingston, Ontario is a historic Canadian city on the northeastern shore of Lake Ontario, known for its 19th-century limestone architecture, military and political heritage, and as home to Queen’s University.
  • D. Island of Montreal
    The Island of Montreal is a large, densely populated island in southwestern Quebec that hosts the city of Montreal and several surrounding municipalities in the Saint Lawrence River.
  • E. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25bafd5808190a0a0cb2b21ce007f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8959dc8190b6ec8ef2583505a1 completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.