Triple

T734605
Position Surface form Disambiguated ID Type / Status
Subject Canada E14901 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object CA
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
 E126839 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: CA | Statement: [Canada, ISO3166-1Alpha2, CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CA
Context triple: [Canada, ISO3166-1Alpha2, CA]
  • A. California, United States
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • B. CO
    CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
  • C. CO
    CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
  • D. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • E. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • 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: CA
Triple: [Canada, ISO3166-1Alpha2, CA]
Generated description
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CA
Target entity description: CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • A. California, United States
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • B. CO
    CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
  • C. CO
    CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
  • D. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • E. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • 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_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_69ac4bf512bc81908ff403ce87337a0d completed March 7, 2026, 4:01 p.m.
NEDg Description generation batch_69ac4f7da1b48190b758c1900ef5bc8f completed March 7, 2026, 4:17 p.m.
NED2 Entity disambiguation (via description) batch_69ac4fd709e88190b7082b7111e24832 completed March 7, 2026, 4:18 p.m.
Created at: March 1, 2026, 7:37 p.m.