Triple

T2618848
Position Surface form Disambiguated ID Type / Status
Subject U.S. Foreign Military Sales E58955 entity
Predicate abbreviation P43 FINISHED
Object LOA
LOA is the formal agreement document that outlines the terms, conditions, and details of a U.S. Foreign Military Sales transaction between the United States government and a foreign purchaser.
E283072 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: LOA | Statement: [U.S. Foreign Military Sales, abbreviation, LOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOA
Context triple: [U.S. Foreign Military Sales, abbreviation, LOA]
  • A. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • B. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • C. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • D. L1O
    L1O is a Canadian pro-am soccer league in Ontario that forms part of the country’s third tier in the men’s and women’s soccer pyramid.
  • E. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • 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: LOA
Triple: [U.S. Foreign Military Sales, abbreviation, LOA]
Generated description
LOA is the formal agreement document that outlines the terms, conditions, and details of a U.S. Foreign Military Sales transaction between the United States government and a foreign purchaser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LOA
Target entity description: LOA is the formal agreement document that outlines the terms, conditions, and details of a U.S. Foreign Military Sales transaction between the United States government and a foreign purchaser.
  • A. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • B. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • C. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • D. L1O
    L1O is a Canadian pro-am soccer league in Ontario that forms part of the country’s third tier in the men’s and women’s soccer pyramid.
  • E. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8962b348190a059519778ea4dba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af908ba2908190b535d96c6f0e76ba completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af914ebc80819091524d1a4c316337 completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91cc03648190936adfcccb6017de completed March 10, 2026, 3:36 a.m.
Created at: March 6, 2026, 9:50 p.m.