Triple
T23590578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Trent 800 |
E582464
|
entity |
| Predicate | usedOnAirlineFleets |
P152831
|
FINISHED |
| Object | British Airways Boeing 777 fleet |
—
|
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: British Airways Boeing 777 fleet | Statement: [Rolls-Royce Trent 800, usedOnAirlineFleets, British Airways Boeing 777 fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnAirlineFleets Context triple: [Rolls-Royce Trent 800, usedOnAirlineFleets, British Airways Boeing 777 fleet]
-
A.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
B.
aircraftUsedFromFleetOf
Indicates that a specific aircraft is selected and used from a particular fleet of aircraft.
-
C.
airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
-
D.
airTransportServedBy
Indicates that a particular air transport service (such as a route, flight, or airport operation) is provided or operated by a specified carrier or service provider.
-
E.
carrierAircraft
Indicates that an aircraft is designed, equipped, or used to operate from an aircraft carrier.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b03484e4819093d5c14c891f7744 |
completed | April 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:42 p.m.