Triple

T784792
Position Surface form Disambiguated ID Type / Status
Subject Costa Rica E16577 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
E93079 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: CR | Statement: [Costa Rica, ISO3166-1Alpha2, CR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CR
Context triple: [Costa Rica, ISO3166-1Alpha2, CR]
  • A. CF
    CF is the abbreviation for the Commonwealth Foundation, an intergovernmental organization that supports civil society and promotes democracy and development across the Commonwealth.
  • B. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • C. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • D. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • E. CC
    CC is the post-nominal letters used to denote a Companion of the Order of Canada, the highest grade of one of Canada's most prestigious civilian honours.
  • 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: CR
Triple: [Costa Rica, ISO3166-1Alpha2, CR]
Generated description
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CR
Target entity description: CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • A. CF
    CF is the abbreviation for the Commonwealth Foundation, an intergovernmental organization that supports civil society and promotes democracy and development across the Commonwealth.
  • B. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • C. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • D. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • E. CC
    CC is the post-nominal letters used to denote a Companion of the Order of Canada, the highest grade of one of Canada's most prestigious civilian honours.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a769dc6481908f12e872f997acf3 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733c2e608190962440d6ef637784 completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a673ccc2308190a887ada146290de8 completed March 3, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a6742d7ba881909385cbc51a2ed7bd completed March 3, 2026, 5:39 a.m.
Created at: March 1, 2026, 7:37 p.m.