Triple
T13088241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malév Hungarian Airlines |
E310391
|
entity |
| Predicate | successorAirlineRole |
P29477
|
FINISHED |
| Object | partially replaced by Wizz Air on some routes |
—
|
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: partially replaced by Wizz Air on some routes | Statement: [Malév Hungarian Airlines, successorAirlineRole, partially replaced by Wizz Air on some routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAirlineRole Context triple: [Malév Hungarian Airlines, successorAirlineRole, partially replaced by Wizz Air on some routes]
-
A.
successorAirline
chosen
Indicates that one airline has taken over, replaced, or continued the operations of another airline as its successor.
-
B.
hasSisterAirline
Indicates that one airline is related to another as its sister airline, typically sharing common ownership, management, or branding.
-
C.
airlineParentCompany
Indicates that one company is the parent or owning company of an airline.
-
D.
usedByAirlineAlsoKnownAs
Indicates that an item (such as a code, name, or identifier) is used by an airline that is also known by an alternative name.
-
E.
usedByAirlineRole
Indicates that something (such as a resource, system, or process) is utilized by a specific role or position within an airline organization.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:02 p.m.