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.