Triple
T16820258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab‑Fairchild partnership |
E408867
|
entity |
| Predicate | roleOfFairchild |
P122515
|
FINISHED |
| Object | manufacturing partner |
—
|
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: manufacturing partner | Statement: [Saab‑Fairchild partnership, roleOfFairchild, manufacturing partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfFairchild Context triple: [Saab‑Fairchild partnership, roleOfFairchild, manufacturing partner]
-
A.
referredAircraftRole
Indicates that one aircraft is mentioned or designated in relation to another aircraft’s role, function, or status within a specific context or event.
-
B.
isPilotOf
Indicates that one entity serves as the pilot who operates or controls another entity, typically a vehicle or aircraft.
-
C.
hasRoleInAviation
chosen
Indicates that an entity holds or has held a specific role, position, or function within the field of aviation.
-
D.
firstFlightCommander
Indicates that one entity served as the first commander in charge of another entity’s inaugural flight.
-
E.
hasFixedWingTrainingRole
Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e56b9c8190a35ad9c463954fbf |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.