Triple

T11877584
Position Surface form Disambiguated ID Type / Status
Subject Eastern West Virginia Regional Airport E282569 entity
Predicate IATAcode P418 FINISHED
Object MRB
MRB is the three-letter IATA airport code for Eastern West Virginia Regional Airport in the United States.
 E951867 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: MRB | Statement: [Eastern West Virginia Regional Airport, IATAcode, MRB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRB
Context triple: [Eastern West Virginia Regional Airport, IATAcode, MRB]
  • A. M.B.
    M.B. is a set of Canadian post-nominal letters signifying that the holder has been awarded the Medal of Bravery for acts of courage.
  • B. M&R
    M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • E. MER-B
    MER-B, better known as Opportunity, was a NASA Mars Exploration Rover that conducted a long-duration mission on Mars, vastly exceeding its planned lifespan and providing extensive geological and atmospheric data.
  • 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: MRB
Triple: [Eastern West Virginia Regional Airport, IATAcode, MRB]
Generated description
MRB is the three-letter IATA airport code for Eastern West Virginia Regional Airport in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRB
Target entity description: MRB is the three-letter IATA airport code for Eastern West Virginia Regional Airport in the United States.
  • A. M.B.
    M.B. is a set of Canadian post-nominal letters signifying that the holder has been awarded the Medal of Bravery for acts of courage.
  • B. M&R
    M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • E. MER-B
    MER-B, better known as Opportunity, was a NASA Mars Exploration Rover that conducted a long-duration mission on Mars, vastly exceeding its planned lifespan and providing extensive geological and atmospheric data.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1b6a5c81909a18c54205dda09c completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281d8c65081908ebaf4bff5670c47 completed April 29, 2026, 10:10 p.m.
NEDg Description generation batch_69f2b8b73f28819089ac252f7f823efb completed April 30, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69f2c4120f448190ac0ac944e77cb20e completed April 30, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:44 p.m.