Triple
T5267645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folland Aircraft |
E118975
|
entity |
| Predicate | aircraftUsedInRole |
P53999
|
FINISHED |
| Object | aerobatic display (via Gnat) |
—
|
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: aerobatic display (via Gnat) | Statement: [Folland Aircraft, aircraftUsedInRole, aerobatic display (via Gnat)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftUsedInRole Context triple: [Folland Aircraft, aircraftUsedInRole, aerobatic display (via Gnat)]
-
A.
notableAircraftRole
chosen
Indicates that an aircraft is notably associated with performing a particular role or function.
-
B.
usedOnAircraftRole
Indicates that something is employed or applied in the context of a specific role or function on an aircraft.
-
C.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular aircraft.
-
D.
basedAircraftRole
Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
-
E.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.