Triple

T13088209
Position Surface form Disambiguated ID Type / Status
Subject Malév Hungarian Airlines E310391 entity
Predicate ICAOcode P419 FINISHED
Object MAH E590707 NE 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: MAH | Statement: [Malév Hungarian Airlines, ICAOcode, MAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAH
Context triple: [Malév Hungarian Airlines, ICAOcode, MAH]
  • A. MAH chosen
    MAH is the IATA airport code for Menorca Airport, the main international gateway to the Spanish island of Menorca in the Balearic Islands.
  • B. MAHE
    MAHE (Manipal Academy of Higher Education) is a prominent Indian deemed university and multidisciplinary higher education institution known for its wide range of professional and academic programs.
  • C. MUHS
    MUHS is a state health sciences university in Maharashtra, India, overseeing and affiliating medical and allied health education institutions across the state.
  • D. MHT
    MHT is the IATA airport code for Manchester–Boston Regional Airport, a commercial airport serving the Manchester, New Hampshire area and the greater Boston region.
  • E. MHA
    MHA is the commonly used abbreviation for a Member of the House of Assembly in the provincial legislature of Newfoundland and Labrador, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:02 p.m.