Triple
T13088218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malév Hungarian Airlines |
E310391
|
entity |
| Predicate | operatedAsNationalAirlineUntil |
P3074
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Malév Hungarian Airlines, operatedAsNationalAirlineUntil, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedAsNationalAirlineUntil Context triple: [Malév Hungarian Airlines, operatedAsNationalAirlineUntil, 2012]
-
A.
operatedForAirline
Indicates that an aircraft or flight was operated on behalf of, or under the branding of, a particular airline.
-
B.
nationalAirline
chosen
Indicates that an airline serves as the official or primary flag carrier of a particular country.
-
C.
successorAirline
Indicates that one airline has taken over, replaced, or continued the operations of another airline as its successor.
-
D.
airlineFoundedAs
Indicates that one airline was originally established or created under a particular initial name, structure, or predecessor airline.
-
E.
isLongestOperatingAirlineIn
Indicates that an airline is the longest continuously operating airline within a specified geographic region or country.
- 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.