Triple
T13088210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malév Hungarian Airlines |
E310391
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
MALEV
MALEV was the callsign of Malév Hungarian Airlines, the former flag carrier and principal airline of Hungary.
|
E1021238
|
NE FINISHED |
How this triple was built (4 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: MALEV | Statement: [Malév Hungarian Airlines, callsign, MALEV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MALEV Context triple: [Malév Hungarian Airlines, callsign, MALEV]
-
A.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
-
B.
Maléter
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
-
C.
Mello
Mello is the official mascot character created for the 2007 ICC Cricket World Cup held in the West Indies.
-
D.
Malo
Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
-
E.
Motlav
Motlav is an Oceanic language of the Torres Islands in northern Vanuatu, spoken primarily on Motalava Island.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MALEV Triple: [Malév Hungarian Airlines, callsign, MALEV]
Generated description
MALEV was the callsign of Malév Hungarian Airlines, the former flag carrier and principal airline of Hungary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MALEV Target entity description: MALEV was the callsign of Malév Hungarian Airlines, the former flag carrier and principal airline of Hungary.
-
A.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
-
B.
Maléter
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
-
C.
Mello
Mello is the official mascot character created for the 2007 ICC Cricket World Cup held in the West Indies.
-
D.
Malo
Malo is an Oceanic language of Vanuatu, also known as Tamambo, spoken primarily on Malo Island.
-
E.
Motlav
Motlav is an Oceanic language of the Torres Islands in northern Vanuatu, spoken primarily on Motalava Island.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d614704481908758cf8691a941ea |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6db8b74e08190919245104ac7ebd9 |
completed | May 3, 2026, 5:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6dc4db1e0819082f1b7e196e7f0c0 |
completed | May 3, 2026, 5:25 a.m. |
Created at: April 9, 2026, 9:02 p.m.