Triple
T15754915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-4K |
E381942
|
entity |
| Predicate | additionalAirframesAcquired |
P101652
|
FINISHED |
| Object | ex-RAAF A-4G |
—
|
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: ex-RAAF A-4G | Statement: [A-4K, additionalAirframesAcquired, ex-RAAF A-4G]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additionalAirframesAcquired Context triple: [A-4K, additionalAirframesAcquired, ex-RAAF A-4G]
-
A.
additionalAircraft
chosen
Indicates that one aircraft is an extra or supplementary aircraft associated with another aircraft or flight operation.
-
B.
aircraftTypesCarried
Indicates that one entity (typically a vessel, facility, or platform) carries or is capable of carrying specific types of aircraft as part of its operations or configuration.
-
C.
notableImportedAircraft
Indicates that an entity is notably recognized for having imported a particular aircraft model or type.
-
D.
developedAircraft
Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
-
E.
usesCarrierAircraft
Indicates that one entity employs or operates aircraft that are designed to be launched from and recovered by an aircraft carrier.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.