Triple

T4027145
Position Surface form Disambiguated ID Type / Status
Subject Royal Canadian Air Force ensign E83617 entity
Predicate cantonRepresents P53521 FINISHED
Object Canada E14901 NE FINISHED

How this triple was built (3 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: Canada | Statement: [Royal Canadian Air Force ensign, cantonRepresents, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canada
Context triple: [Royal Canadian Air Force ensign, cantonRepresents, Canada]
  • A. Canada chosen
    Canada is a large North American country known for its vast natural landscapes, bilingual English-French heritage, and stable parliamentary democracy.
  • B. Kanada
    Kanada was an ancient Indian philosopher who founded the Vaisheshika school of Hindu philosophy, known for its early atomic theory and analysis of reality through categories of substance and qualities.
  • C. Canada East
    Canada East was the historical name for the predominantly French-speaking region that later became the province of Quebec in Canada.
  • D. United States and Canada
    The United States and Canada are neighboring North American countries that share the world’s longest international land border and have closely intertwined economic, cultural, and sporting ties.
  • E. America
    America is the landmass in the Western Hemisphere comprising the continents of North and South America, widely recognized for its vast geographic, cultural, and political diversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cantonRepresents
Context triple: [Royal Canadian Air Force ensign, cantonRepresents, Canada]
  • A. canton
    Indicates that an entity is administratively located within, belongs to, or is governed as part of a specific canton.
  • B. cantonSymbol
    Indicates that one entity serves as the official symbol or emblem representing a particular canton.
  • C. hasCanton
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • D. cantonPosition
    Indicates the relative placement or arrangement of a canton within a larger geographic or administrative context.
  • E. cantonCode
    Indicates the specific administrative canton identifier associated with an entity or location.
  • F. None of above. chosen

Provenance (5 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaed37e48190844032e7e77163e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556325c48819099d4cb5c2049d7e7 completed March 14, 2026, 12:36 p.m.
PD Predicate disambiguation batch_69aef8fc78ec819092d4dab88d85a141 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefa815f2c8190818c9ffd9d1bf478 completed March 9, 2026, 4:51 p.m.
Created at: March 9, 2026, 3:36 p.m.