Triple

T1245605
Position Surface form Disambiguated ID Type / Status
Subject Office of the Secretary of the Army E26757 entity
Predicate hasAbbreviation P43 FINISHED
Object OSA
OSA is the abbreviation for the Office of the Secretary of the Army, the senior civilian leadership office overseeing administration and policy for the United States Army.
 E142123 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: OSA | Statement: [Office of the Secretary of the Army, hasAbbreviation, OSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSA
Context triple: [Office of the Secretary of the Army, hasAbbreviation, OSA]
  • A. IOSA
    IOSA is the International Air Transport Association’s global safety audit program that assesses and certifies the operational management and control systems of airlines.
  • B. OSL
    OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
  • C. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • D. OASAM
    OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
  • E. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • 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: OSA
Triple: [Office of the Secretary of the Army, hasAbbreviation, OSA]
Generated description
OSA is the abbreviation for the Office of the Secretary of the Army, the senior civilian leadership office overseeing administration and policy for the United States Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSA
Target entity description: OSA is the abbreviation for the Office of the Secretary of the Army, the senior civilian leadership office overseeing administration and policy for the United States Army.
  • A. IOSA
    IOSA is the International Air Transport Association’s global safety audit program that assesses and certifies the operational management and control systems of airlines.
  • B. OSL
    OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
  • C. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • D. OASAM
    OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
  • E. Optica
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac8ff7ae0c81908ca8ace1f4159383 completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac905ce0c48190a8465988161f19ed completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:47 p.m.