Triple
T13246405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAM 28000 |
E315416
|
entity |
| Predicate | introducedAsPresidentialAircraft |
P29703
|
FINISHED |
| Object | 1990 |
—
|
LITERAL 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: 1990 | Statement: [SAM 28000, introducedAsPresidentialAircraft, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsPresidentialAircraft Context triple: [SAM 28000, introducedAsPresidentialAircraft, 1990]
-
A.
officiallyFlownOn
Indicates that something has been formally carried or transported aboard a specific flight or aircraft under official or authorized status.
-
B.
inauguralFlightVehicle
Indicates that the subject is the vehicle used to operate the inaugural (first-ever) flight of a given service or route.
-
C.
introducedAsPresidentialTransport
chosen
Indicates that something was formally presented or put into service in the role of transporting a president.
-
D.
aircraftMostAssociatedWith
Indicates the aircraft that is most strongly or commonly linked to, used by, or representative of a given entity compared to other aircraft.
-
E.
notableTransportAircraft
Indicates that the subject is a transport aircraft recognized for particular significance, such as historical importance, performance, or impact on aviation.
- F. None of above.
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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5c09f88190bb1566a6d8c073a6 |
completed | April 10, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69d98bcca7d88190a3e68e99ed3a29e6 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:23 p.m.