Triple
T15851713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Mayo Composite |
E384355
|
entity |
| Predicate | launchAircraftRole |
P120767
|
FINISHED |
| Object | carrier flying boat |
—
|
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: carrier flying boat | Statement: [Short Mayo Composite, launchAircraftRole, carrier flying boat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchAircraftRole Context triple: [Short Mayo Composite, launchAircraftRole, carrier flying boat]
-
A.
launchedAircraftIn
Indicates that an entity initiated the takeoff or deployment of an aircraft within a specified location or context.
-
B.
launchVehicleRole
Indicates the functional role or purpose that an entity serves in relation to a launch vehicle within a launch or mission context.
-
C.
poweredAircraftRole
Indicates the functional role or purpose assigned to a powered (engine-driven) aircraft within an operation or context.
-
D.
aircraftCommanded
Indicates that one entity serves as the commanding officer or leader in charge of operating, directing, or overseeing the other entity, which is an aircraft.
-
E.
carriedAircraftRole
Indicates the functional role or mission type that an aircraft serves when it is carried by another platform (such as a ship or larger aircraft).
- F. None of above. chosen
Provenance (4 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.