Triple

T2290158
Position Surface form Disambiguated ID Type / Status
Subject Middle Georgia Regional Airport E51483 entity
Predicate IATAcode P418 FINISHED
Object MCN
MCN is the three-letter IATA airport code for Middle Georgia Regional Airport in Macon, Georgia, United States.
E254093 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: MCN | Statement: [Middle Georgia Regional Airport, IATAcode, MCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCN
Context triple: [Middle Georgia Regional Airport, IATAcode, MCN]
  • A. MNC
    MNC is the three-letter National Rail station code assigned to Markinch railway station in Fife, Scotland.
  • B. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • C. MICA Entertainment
    MICA Entertainment is a film production company known for helping finance and produce feature films such as the historical adventure drama "The Lost City of Z."
  • D. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • E. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • 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: MCN
Triple: [Middle Georgia Regional Airport, IATAcode, MCN]
Generated description
MCN is the three-letter IATA airport code for Middle Georgia Regional Airport in Macon, Georgia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCN
Target entity description: MCN is the three-letter IATA airport code for Middle Georgia Regional Airport in Macon, Georgia, United States.
  • A. MNC
    MNC is the three-letter National Rail station code assigned to Markinch railway station in Fife, Scotland.
  • B. CMG
    CMG is a post-nominal honorific indicating appointment as a Companion of the Order of St Michael and St George, a British order of chivalry typically awarded for distinguished service in foreign affairs or overseas.
  • C. MICA Entertainment
    MICA Entertainment is a film production company known for helping finance and produce feature films such as the historical adventure drama "The Lost City of Z."
  • D. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • E. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc273b67c8190bcd96f9a484647ef completed March 7, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f210bb881909086b86b2c3017a7 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae8018c2e88190aaacaad9adc442cf completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae806fd8008190bfd6c6bcd1d0ddbd completed March 9, 2026, 8:10 a.m.
Created at: March 4, 2026, 7:48 p.m.