Triple
T5609732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Marianas Turkey Shoot |
E147321
|
entity |
| Predicate | U.S.AircraftLaunched |
P4685
|
FINISHED |
| Object | over 450 carrier aircraft |
—
|
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: over 450 carrier aircraft | Statement: [Great Marianas Turkey Shoot, U.S.AircraftLaunched, over 450 carrier aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S.AircraftLaunched Context triple: [Great Marianas Turkey Shoot, U.S.AircraftLaunched, over 450 carrier aircraft]
-
A.
launchedAircraftIn
chosen
Indicates that an entity initiated the takeoff or deployment of an aircraft within a specified location or context.
-
B.
inauguralFlightVehicle
Indicates that the subject is the vehicle used to operate the inaugural (first-ever) flight of a given service or route.
-
C.
developedAircraft
Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
-
D.
launchVehicleSupported
Indicates that one entity provides the necessary infrastructure, capability, or compatibility to support the operation or use of a particular launch vehicle.
-
E.
aircraftDestroyedUS
Indicates that a U.S. aircraft has been destroyed.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0211dfc88819097b6d4254a61f65a |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.