Triple

T9856375
Position Surface form Disambiguated ID Type / Status
Subject Blue Grass Airport E239597 entity
Predicate IATAcode P418 FINISHED
Object LEX
LEX is the three-letter IATA airport code for Blue Grass Airport serving Lexington, Kentucky.
 E824291 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: LEX | Statement: [Blue Grass Airport, IATAcode, LEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEX
Context triple: [Blue Grass Airport, IATAcode, LEX]
  • A. LEX
    LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
  • B. Lex
    Lex is a common shortened form of the given name Alexander, often used as a modern, informal nickname.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. LER
    LER is the vehicle registration code assigned to the German island municipality of Borkum.
  • E. LEG
    LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
  • 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: LEX
Triple: [Blue Grass Airport, IATAcode, LEX]
Generated description
LEX is the three-letter IATA airport code for Blue Grass Airport serving Lexington, Kentucky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEX
Target entity description: LEX is the three-letter IATA airport code for Blue Grass Airport serving Lexington, Kentucky.
  • A. LEX
    LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
  • B. Lex
    Lex is a common shortened form of the given name Alexander, often used as a modern, informal nickname.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. LER
    LER is the vehicle registration code assigned to the German island municipality of Borkum.
  • E. LEG
    LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39719288190adf45e7c029edd51 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f5b6148190bcccebd0aefb4bc9 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6917f0081908b2c82a826873faf completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d73452b48190ac3a0d6498a9a641 completed April 5, 2026, 3:29 a.m.
Created at: March 30, 2026, 8:35 p.m.