Triple
T6105016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 10 Squadron RAF |
E136095
|
entity |
| Predicate | usesAircraftFor |
P64999
|
FINISHED |
| Object | ministerial transport |
—
|
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: ministerial transport | Statement: [No. 10 Squadron RAF, usesAircraftFor, ministerial transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAircraftFor Context triple: [No. 10 Squadron RAF, usesAircraftFor, ministerial transport]
-
A.
usesCarrierAircraft
Indicates that one entity employs or operates aircraft that are designed to be launched from and recovered by an aircraft carrier.
-
B.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
C.
referredAircraftUsedFor
chosen
Indicates that the referenced aircraft is utilized for a particular purpose, role, or operation in relation to another entity or context.
-
D.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
-
E.
referredAircraftUsedIn
Indicates that an aircraft being referred to is the one that was actually used in a particular event, operation, or context.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b7ee8b48190b87f5ec8a46d6e2d |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.