Triple

T12746841
Position Surface form Disambiguated ID Type / Status
Subject Meridian Regional Airport E304626 entity
Predicate IATAcode P418 FINISHED
Object MEI
MEI is the three-letter IATA airport code for Meridian Regional Airport in Meridian, Mississippi, United States.
 E999166 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: MEI | Statement: [Meridian Regional Airport, IATAcode, MEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MEI
Context triple: [Meridian Regional Airport, IATAcode, MEI]
  • A. MEI
    MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
  • B. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • C. MEI
    MEI is an abbreviation for Matsushita Electric Industrial Co., the Japanese electronics company better known globally by its Panasonic brand.
  • D. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • E. MITEI
    MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
  • 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: MEI
Triple: [Meridian Regional Airport, IATAcode, MEI]
Generated description
MEI is the three-letter IATA airport code for Meridian Regional Airport in Meridian, Mississippi, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MEI
Target entity description: MEI is the three-letter IATA airport code for Meridian Regional Airport in Meridian, Mississippi, United States.
  • A. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • B. MEI
    MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
  • C. MEI
    MEI is an abbreviation for Matsushita Electric Industrial Co., the Japanese electronics company better known globally by its Panasonic brand.
  • D. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • E. MITEI
    MITEI is the Massachusetts Institute of Technology’s multidisciplinary research and education hub focused on advancing energy technologies, policy, and innovation for a low-carbon future.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c94265481908ace9cac757df890 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d897c6881908d73eb2923e55938 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67de628588190978f30972d5ce13a completed May 2, 2026, 10:42 p.m.
Created at: April 9, 2026, 5:27 p.m.