Triple
T38283423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Welland |
E1022137
|
entity |
| Predicate | aircraftApplicationRole |
P175697
|
FINISHED |
| Object | fighter aircraft |
—
|
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: fighter aircraft | Statement: [Rolls-Royce Welland, aircraftApplicationRole, fighter aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftApplicationRole Context triple: [Rolls-Royce Welland, aircraftApplicationRole, fighter aircraft]
-
A.
referredAircraftRole
Indicates that one aircraft is mentioned or designated in relation to another aircraft’s role, function, or status within a specific context or event.
-
B.
usedOnAircraftRole
Indicates that something is employed or applied in the context of a specific role or function on an aircraft.
-
C.
aircraftRoleRequired
Indicates that a specific operational role or function is required of an aircraft within a given context or mission.
-
D.
aircraftRoleOfDesignatedAircraft
chosen
Indicates that an aircraft has the specified operational role or function as a designated aircraft within a particular context or mission.
-
E.
airspaceRole
Indicates the specific function or responsibility an entity has within a defined airspace.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.