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.