Triple

T2171998
Position Surface form Disambiguated ID Type / Status
Subject Muskegon County Airport E48446 entity
Predicate IATAcode P418 FINISHED
Object MKG
MKG is the three-letter IATA airport code for Muskegon County Airport in Muskegon, Michigan, USA.
 E239311 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: MKG | Statement: [Muskegon County Airport, IATAcode, MKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MKG
Context triple: [Muskegon County Airport, IATAcode, MKG]
  • A. MKT
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • D. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • E. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • 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: MKG
Triple: [Muskegon County Airport, IATAcode, MKG]
Generated description
MKG is the three-letter IATA airport code for Muskegon County Airport in Muskegon, Michigan, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MKG
Target entity description: MKG is the three-letter IATA airport code for Muskegon County Airport in Muskegon, Michigan, USA.
  • A. MKT
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • D. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • E. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbec98a648190907ef4c6cad916d3 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f6c8c8819081a06861f6133fe9 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5989f054819082f36e5515bec3ca completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a12f11c81908cc345905f0a485e completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.