Triple

T6948654
Position Surface form Disambiguated ID Type / Status
Subject CNR E160863 entity
Predicate hasListingCountryCode P37744 FINISHED
Object CA
CA is the ISO 3166-1 alpha-2 country code for Canada, a large North American country known for its vast landscapes, multicultural society, and advanced economy.
E126839 NE FINISHED

How this triple was built (5 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: [CNR, hasListingCountryCode, CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA
Context triple: [CNR, hasListingCountryCode, CA]
  • A. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • B. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • C. CA
    CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
  • D. CA
    CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
  • E. CA
    CA is the official abbreviation used for the professional head of the Australian Army.
  • 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: [CNR, hasListingCountryCode, CA]
Generated description
CA is the ISO 3166-1 alpha-2 country code for Canada, a large North American country known for its vast landscapes, multicultural society, and advanced economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA
Target entity description: CA is the ISO 3166-1 alpha-2 country code for Canada, a large North American country known for its vast landscapes, multicultural society, and advanced economy.
  • A. CA chosen
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • B. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • C. CA
    CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
  • D. CA
    CA is the abbreviated name for the Council of Administration, one of the main governing bodies of the Universal Postal Union responsible for overseeing its operations and policy implementation.
  • E. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasListingCountryCode
Context triple: [CNR, hasListingCountryCode, CA]
  • A. countryOfListing chosen
    Indicates that a company or financial instrument is officially listed and traded in the specified country’s market or exchange.
  • B. includesPresentCountry
    Indicates that an entity (such as a region, organization, or grouping) currently contains or encompasses a specified country within its present composition or membership.
  • C. hasCountryElement
    Indicates that something includes, contains, or is composed of one or more country-related components or parts.
  • D. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific country.
  • E. displayedInCountry
    Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
  • F. None of above.

Provenance (6 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75874ffcc81908f31ff03e13cb5b0 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c758ee37dc8190810e44d11c744ac7 completed March 28, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c759a99b2c8190986ce5bc36502975 completed March 28, 2026, 4:31 a.m.
PD Predicate disambiguation batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:28 p.m.