Triple

T1511428
Position Surface form Disambiguated ID Type / Status
Subject Suriname E32021 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
 E172416 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: SR | Statement: [Suriname, ISO3166-1Alpha2, SR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR
Context triple: [Suriname, ISO3166-1Alpha2, SR]
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • C. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • D. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • E. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • 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: SR
Triple: [Suriname, ISO3166-1Alpha2, SR]
Generated description
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR
Target entity description: SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • C. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • D. ERS
    ERS is the principal economic and social science research agency of the U.S. Department of Agriculture, providing data and analysis on agriculture, food, the environment, and rural development.
  • E. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61db41c88190a2d97cc9cbbc3f06 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad233e6e748190929b3f339cc9bd4b completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23e279e88190ae341af34ea98487 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad24f7d8b081909241ab3995172f4d completed March 8, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:26 p.m.