Triple
T24137984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce BR715 |
E598141
|
entity |
| Predicate | introducedOnAircraftType |
P10706
|
FINISHED |
| Object | Boeing 717 entry into service |
—
|
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: Boeing 717 entry into service | Statement: [Rolls-Royce BR715, introducedOnAircraftType, Boeing 717 entry into service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedOnAircraftType Context triple: [Rolls-Royce BR715, introducedOnAircraftType, Boeing 717 entry into service]
-
A.
aircraftIntroducedOfAircraft
Indicates that a specific aircraft model was introduced or entered service on a particular date or in a particular time period.
-
B.
aircraftTypeIntroduced
Indicates that a specific type or model of aircraft was first brought into service or made operational at a particular time or by a particular operator.
-
C.
usedOnAircraftName
chosen
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
D.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
E.
firstFlightOnType
Indicates that an entity represents the first flight event conducted with a particular aircraft type or model.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7e3c20819099ff289789829d7e |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:27 p.m.