Triple

T18172179
Position Surface form Disambiguated ID Type / Status
Subject Managua International Airport E435058 entity
Predicate ICAOcode P419 FINISHED
Object MNMG 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: MNMG | Statement: [Managua International Airport, ICAOcode, MNMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MNMG
Context triple: [Managua International Airport, ICAOcode, MNMG]
  • A. MNMG chosen
    MNMG is the ICAO airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
  • B. MGN
    MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
  • C. MGNI
    MGNI is the stock ticker symbol for Magnite, a leading independent sell-side advertising platform for digital media.
  • D. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • E. M&GN
    M&GN was a historic joint railway in eastern England, formally known as the Midland and Great Northern Joint Railway, that connected the Midlands to the Norfolk coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56d0a88190af3f407d2a3bb74f completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.