Triple
T6578935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Air Force |
E157241
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Long-Range Aviation |
E63697
|
NE FINISHED |
How this triple was built (2 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: Long-Range Aviation | Statement: [Russian Air Force, hasComponent, Long-Range Aviation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long-Range Aviation Context triple: [Russian Air Force, hasComponent, Long-Range Aviation]
-
A.
Long-Range Aviation
chosen
Long-Range Aviation was the Soviet Air Forces’ strategic bomber arm responsible for long-distance nuclear and conventional strike missions.
-
B.
National Air Transport
National Air Transport was an early U.S. airline of the 1920s that operated mail and passenger services and later became part of United Airlines.
-
C.
Aviation
Aviation is the field concerned with the design, development, production, operation, and use of aircraft for transportation, commerce, and defense.
-
D.
Aviation
Aviation is a classic gin-based cocktail typically made with maraschino liqueur, lemon juice, and sometimes crème de violette, known for its pale bluish hue and floral, citrusy flavor.
-
E.
Aeronautics
Aeronautics is Lockheed Martin’s major business segment focused on designing, developing, and producing military and civilian aircraft and related aerospace technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae8dad608190b4708368a7af6e5d |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56fe8f08190ad30773f29b207c5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.