Triple
T21338667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas V N22 |
E526120
|
entity |
| Predicate | customer |
P7793
|
FINISHED |
| Object | Boeing |
—
|
NE NERFINISHED |
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: Boeing | Statement: [Atlas V N22, customer, Boeing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boeing Context triple: [Atlas V N22, customer, Boeing]
-
A.
Boeing
chosen
Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
-
B.
Lockheed
Lockheed is a small, purple, dragon-like alien who serves as the loyal companion of the X-Men member Kitty Pryde in Marvel Comics.
-
C.
Rockwell International
Rockwell International was a major American manufacturing conglomerate best known in aerospace for building the Space Shuttle orbiters and contributing extensively to U.S. defense and space programs.
-
D.
Lockheed Aircraft Company
Lockheed Aircraft Company was a major American aerospace manufacturer known for producing influential military and civilian aircraft throughout the 20th century.
-
E.
Spirit AeroSystems
Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898daf02481908c61f00289dc5395 |
completed | April 22, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4:44 p.m.