Triple
T35626442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAM 26000 |
E1029468
|
entity |
| Predicate | primaryPresidentialAircraftFrom |
P29703
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [SAM 26000, primaryPresidentialAircraftFrom, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPresidentialAircraftFrom Context triple: [SAM 26000, primaryPresidentialAircraftFrom, 1962]
-
A.
usedAsPresidentialAircraftUntil
Indicates that an aircraft served in the official role of presidential transport up to a specified end date.
-
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.
officiallyFlownOn
Indicates that something has been formally carried or transported aboard a specific flight or aircraft under official or authorized status.
-
E.
primaryUnitAircraft
Indicates that an aircraft serves as the main or principal aircraft assigned to a particular unit.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.