Triple
T18764006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adour Mk 101 |
E458846
|
entity |
| Predicate | usedInVariantOfAircraft |
P133447
|
FINISHED |
| Object | early SEPECAT Jaguar variants |
—
|
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: early SEPECAT Jaguar variants | Statement: [Adour Mk 101, usedInVariantOfAircraft, early SEPECAT Jaguar variants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInVariantOfAircraft Context triple: [Adour Mk 101, usedInVariantOfAircraft, early SEPECAT Jaguar variants]
-
A.
usesAircraftVariant
Indicates that one entity operates or employs a specific variant or version of an aircraft.
-
B.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
C.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
-
D.
usedOnAircraftRole
Indicates that something is employed or applied in the context of a specific role or function on an aircraft.
-
E.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
- F. None of above. chosen
Provenance (4 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:52 a.m.