Triple

T4821234
Position Surface form Disambiguated ID Type / Status
Subject Active Guard and Reserve E107713 entity
Predicate hasAbbreviation P43 FINISHED
Object AGR
AGR is the commonly used abbreviation for the U.S. military’s Active Guard and Reserve program, which places Reserve Component members on full-time active duty to support and administer reserve units.
 E472573 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: AGR | Statement: [Active Guard and Reserve, hasAbbreviation, AGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGR
Context triple: [Active Guard and Reserve, hasAbbreviation, AGR]
  • A. AGR
    AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
  • B. AGR
    AGR is a United Nations treaty that defines and coordinates the network of major international road routes across Europe.
  • C. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • D. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • E. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • 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: AGR
Triple: [Active Guard and Reserve, hasAbbreviation, AGR]
Generated description
AGR is the commonly used abbreviation for the U.S. military’s Active Guard and Reserve program, which places Reserve Component members on full-time active duty to support and administer reserve units.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGR
Target entity description: AGR is the commonly used abbreviation for the U.S. military’s Active Guard and Reserve program, which places Reserve Component members on full-time active duty to support and administer reserve units.
  • A. AGR
    AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
  • B. AGR
    AGR is a United Nations treaty that defines and coordinates the network of major international road routes across Europe.
  • C. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • D. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • E. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc3cf5c8190bcd6ef039bab9878 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e8385e08190a46b1e129234c884 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:24 p.m.