Triple
T30442274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALFA WING |
E774479
|
entity |
| Predicate | parentAirlineOfUser |
P41157
|
FINISHED |
| Object | All Nippon Airways |
—
|
NE NERFINISHED |
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 | Statement: [ALFA WING, parentAirlineOfUser, All Nippon Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentAirlineOfUser Context triple: [ALFA WING, parentAirlineOfUser, All Nippon Airways]
-
A.
ownsAirline
Indicates that one entity has legal ownership or controlling interest in an airline company.
-
B.
airlineParentCompany
chosen
Indicates that one company is the parent or owning company of an airline.
-
C.
userAirlineIATAName
Indicates that a user is associated with an airline identified by its IATA code and corresponding airline name.
-
D.
flightPartner
Indicates that two entities are associated as partners in operating, marketing, or coordinating a flight or set of flights.
-
E.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 8:08 p.m.