Triple
T9302331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airspeed Ambassador |
E223794
|
entity |
| Predicate | survivingAircraft |
P22227
|
FINISHED |
| Object | G‑ALZO (preserved forward fuselage) |
—
|
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: G‑ALZO (preserved forward fuselage) | Statement: [Airspeed Ambassador, survivingAircraft, G‑ALZO (preserved forward fuselage)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingAircraft Context triple: [Airspeed Ambassador, survivingAircraft, G‑ALZO (preserved forward fuselage)]
-
A.
survivingAircraftCount
Indicates the number of aircraft that remain operational or intact after a specified event, condition, or time period.
-
B.
survivingAircraftLocation
chosen
Indicates the location where an aircraft that has survived an incident or event is situated.
-
C.
developedAircraft
Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
-
D.
notableAircraftUsed
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
-
E.
notableAircraftTheater
Indicates that an aircraft is notably associated with operations or service in a particular theater of activity or conflict.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d34c4c819095a213360747c3a6 |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.