Triple
T6055347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Trent 1000 |
E134894
|
entity |
| Predicate | usedOnFirstCommercial787Flight |
P43656
|
FINISHED |
| Object | All Nippon Airways 2011 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: All Nippon Airways 2011 service | Statement: [Rolls-Royce Trent 1000, usedOnFirstCommercial787Flight, All Nippon Airways 2011 service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnFirstCommercial787Flight Context triple: [Rolls-Royce Trent 1000, usedOnFirstCommercial787Flight, All Nippon Airways 2011 service]
-
A.
firstFlownOn
Indicates the date or time at which something (typically an aircraft or spacecraft) made its initial flight.
-
B.
firstFlightUse
Indicates that an entity is being used or operated for the very first time in a flight.
-
C.
firstFlownAt
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
-
D.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
E.
firstCommercialFlight
chosen
Indicates that the subject entity operated or was involved in the earliest commercial flight associated with the object entity (such as a route, aircraft type, or service).
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570a863c819090291775245708d6 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.