Triple

T18241222
Position Surface form Disambiguated ID Type / Status
Subject Las Mercedes Airport E436815 entity
Predicate IATACode P418 FINISHED
Object MGA
MGA is the IATA airport code for Augusto C. Sandino International Airport serving Managua, the capital city of Nicaragua.
 E435055 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: MGA | Statement: [Las Mercedes Airport, IATACode, MGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MGA
Context triple: [Las Mercedes Airport, IATACode, MGA]
  • A. MGA
    MGA is the official ISO 4217 currency code for the Malagasy ariary, the national currency of Madagascar.
  • B. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • C. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • D. MGA
    MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
  • E. MGN
    MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
  • 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: MGA
Triple: [Las Mercedes Airport, IATACode, MGA]
Generated description
MGA is the IATA airport code for Augusto C. Sandino International Airport serving Managua, the capital city of Nicaragua.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MGA
Target entity description: MGA is the IATA airport code for Augusto C. Sandino International Airport serving Managua, the capital city of Nicaragua.
  • A. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • B. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • C. MGA chosen
    MGA is the IATA airport code for Augusto C. Sandino International Airport, the main international gateway serving Managua, Nicaragua.
  • D. MGA
    MGA is the official ISO 4217 currency code for the Malagasy ariary, the national currency of Madagascar.
  • E. MGN
    MGN is the FAA airport code for Harbor Springs Municipal Airport, a public-use airfield serving Harbor Springs, Michigan.
  • F. None of above.

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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e287548190b666a990e5b168b0 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac7124f88190bfc0064e00946586 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad3be75c819080f57a24747ec55f completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aede6ea481908bb9acdb2ff17e9a completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:33 a.m.