Triple

T2898792
Position Surface form Disambiguated ID Type / Status
Subject Guanajuato International Airport E62605 entity
Predicate ICAOcode P419 FINISHED
Object MMLO
MMLO is the ICAO airport code for Guanajuato International Airport, a major air transport hub serving the León–Guanajuato region in central Mexico.
 E307785 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: MMLO | Statement: [Guanajuato International Airport, ICAOcode, MMLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MMLO
Context triple: [Guanajuato International Airport, ICAOcode, MMLO]
  • A. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. MMFA
    MMFA is the acronym for the Montgomery Museum of Fine Arts, a prominent art museum in Montgomery, Alabama known for its collections of American art and regional works.
  • D. MMB
    MMB is the commonly used abbreviation for the Michigan Marching Band, the official marching band of the University of Michigan known for its performances at football games and major events.
  • E. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • 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: MMLO
Triple: [Guanajuato International Airport, ICAOcode, MMLO]
Generated description
MMLO is the ICAO airport code for Guanajuato International Airport, a major air transport hub serving the León–Guanajuato region in central Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MMLO
Target entity description: MMLO is the ICAO airport code for Guanajuato International Airport, a major air transport hub serving the León–Guanajuato region in central Mexico.
  • A. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. MMFA
    MMFA is the acronym for the Montgomery Museum of Fine Arts, a prominent art museum in Montgomery, Alabama known for its collections of American art and regional works.
  • D. MMB
    MMB is the commonly used abbreviation for the Michigan Marching Band, the official marching band of the University of Michigan known for its performances at football games and major events.
  • E. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0ad7bbc8190822738baa6935b74 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0318c544881909f6aabfb2d25e724 completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b038fdc7e881909dd0b6fd4f692e4a completed March 10, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69b03bca591c81908b3734cc8f2e712b completed March 10, 2026, 3:42 p.m.
Created at: March 6, 2026, 10:10 p.m.