Triple
T24329936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Wedgetail |
E613212
|
entity |
| Predicate | aircraftTypeAcquired |
P1524
|
FINISHED |
| Object | Boeing E-7 Wedgetail |
—
|
NE NERFINISHED |
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: Boeing E-7 Wedgetail | Statement: [Project Wedgetail, aircraftTypeAcquired, Boeing E-7 Wedgetail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftTypeAcquired Context triple: [Project Wedgetail, aircraftTypeAcquired, Boeing E-7 Wedgetail]
-
A.
aircraftType
chosen
Indicates the specific model or category of aircraft associated with an entity or event.
-
B.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
C.
aircraftTypeIntroduced
Indicates that a specific type or model of aircraft was first brought into service or made operational at a particular time or by a particular operator.
-
D.
poweredAircraftType
Indicates that one entity is a type or category of aircraft that is propelled by an onboard power source (e.g., engines), as opposed to being unpowered.
-
E.
aircraftTypeManaged
Indicates that one entity is responsible for managing or overseeing a particular type or category of 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f0539081908f2d1769ad122572 |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:55 a.m.