Triple

T734606
Position Surface form Disambiguated ID Type / Status
Subject Canada E14901 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object CAN
CAN is the three-letter ISO 3166-1 alpha-3 country code representing Canada.
 E86792 NE FINISHED

How this triple was built (4 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: CAN | Statement: [Canada, ISO3166-1Alpha3, CAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAN
Context triple: [Canada, ISO3166-1Alpha3, CAN]
  • A. CAN
    CAN is the standard international abbreviation for the Canada men's national ice hockey team, one of the most successful and historically dominant teams in world ice hockey.
  • B. CAN
    CAN is the FIFA country code for Canada, the North American nation whose teams and players participate in international soccer competitions.
  • C. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • D. CPC
    CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
  • E. CPC
    CPC is the abbreviation for the Permanent Consultation Committee of the Community of Portuguese Language Countries, a key body that supports coordination and decision-making among its member states.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CAN
Triple: [Canada, ISO3166-1Alpha3, CAN]
Generated description
CAN is the three-letter ISO 3166-1 alpha-3 country code representing Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAN
Target entity description: CAN is the three-letter ISO 3166-1 alpha-3 country code representing Canada.
  • A. CAN
    CAN is the standard international abbreviation for the Canada men's national ice hockey team, one of the most successful and historically dominant teams in world ice hockey.
  • B. CAN chosen
    CAN is the FIFA country code for Canada, the North American nation whose teams and players participate in international soccer competitions.
  • C. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • D. CPC
    CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
  • E. CPC
    CPC is the abbreviation for the Permanent Consultation Committee of the Community of Portuguese Language Countries, a key body that supports coordination and decision-making among its member states.
  • F. None of above.

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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d8c6148190a468f2d95f7ec91f completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5f0de4819083457c86e5e93ba0 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64b03246081908c20445a7a401008 completed March 3, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a64b4e9cec8190a3dcc378f853be0d completed March 3, 2026, 2:45 a.m.
Created at: March 1, 2026, 7:37 p.m.