Triple

T7050020
Position Surface form Disambiguated ID Type / Status
Subject Republic of Vietnam Air Force E163740 entity
Predicate abbreviation P43 FINISHED
Object VNAF
VNAF was the air force branch of South Vietnam’s military, active primarily during the Vietnam War and equipped and trained largely by the United States.
E639429 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: VNAF | Statement: [Republic of Vietnam Air Force, abbreviation, VNAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VNAF
Context triple: [Republic of Vietnam Air Force, abbreviation, VNAF]
  • A. CNAF
    CNAF is a major computing and data center of the Italian National Institute for Nuclear Physics, dedicated to supporting large-scale experiments in particle and nuclear physics.
  • B. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • C. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • D. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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: VNAF
Triple: [Republic of Vietnam Air Force, abbreviation, VNAF]
Generated description
VNAF was the air force branch of South Vietnam’s military, active primarily during the Vietnam War and equipped and trained largely by the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VNAF
Target entity description: VNAF was the air force branch of South Vietnam’s military, active primarily during the Vietnam War and equipped and trained largely by the United States.
  • A. CNAF
    CNAF is a major computing and data center of the Italian National Institute for Nuclear Physics, dedicated to supporting large-scale experiments in particle and nuclear physics.
  • B. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • C. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • D. VFA
    VFA is the commonly used abbreviation for the Victorian Football Association, a historic Australian rules football competition based in the state of Victoria.
  • E. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24e7e20819099dc8f7fa37c4491 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7888bba9c8190b6414b56e5588ec0 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c788f292a08190bf3543ecfc245d12 completed March 28, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69c789a6ea988190ad2db2442f0a5e8f completed March 28, 2026, 7:56 a.m.
Created at: March 27, 2026, 2:37 p.m.