Triple
T17326288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lockheed Model 82 design studies |
E420694
|
entity |
| Predicate | aircraftRoleTarget |
P2860
|
FINISHED |
| Object | tactical airlifter |
—
|
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: tactical airlifter | Statement: [Lockheed Model 82 design studies, aircraftRoleTarget, tactical airlifter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftRoleTarget Context triple: [Lockheed Model 82 design studies, aircraftRoleTarget, tactical airlifter]
-
A.
basedAircraftRole
Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
-
B.
targetedAircraft
Indicates that one entity has selected or designated an aircraft as the object of an attack, tracking, or other directed action.
-
C.
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).
-
D.
primaryAircraftRole
chosen
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
-
E.
notableAircraftRole
Indicates that an aircraft is notably associated with performing a particular role or function.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.