Triple

T3164053
Position Surface form Disambiguated ID Type / Status
Subject Macon Downtown Airport E66168 entity
Predicate icaoCode P419 FINISHED
Object KMAC
KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
 E334272 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: KMAC | Statement: [Macon Downtown Airport, icaoCode, KMAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMAC
Context triple: [Macon Downtown Airport, icaoCode, KMAC]
  • A. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • 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. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • D. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • E. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • 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: KMAC
Triple: [Macon Downtown Airport, icaoCode, KMAC]
Generated description
KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMAC
Target entity description: KMAC is the ICAO airport code for Macon Downtown Airport, a public airport serving Macon, Georgia, in the United States.
  • A. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • 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. MKC
    MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
  • D. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • E. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61ba98881909106951c8ceeb959 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235d823948190b1fbe0dbf303133d completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b239bac9c48190b38fd7fa59b4c061 completed March 12, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69b23a0dcb7c819080a89f08948aff3a completed March 12, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:06 p.m.