Triple

T12294118
Position Surface form Disambiguated ID Type / Status
Subject Learjet 45 E293038 entity
Predicate ICAOTypeDesignator P16898 FINISHED
Object LJ45
LJ45 is the ICAO aircraft type designator for the Learjet 45, a popular mid-size business jet.
 E975285 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: LJ45 | Statement: [Learjet 45, ICAOTypeDesignator, LJ45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LJ45
Context triple: [Learjet 45, ICAOTypeDesignator, LJ45]
  • A. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • B. J-45
    The J-45 is Gibson’s iconic round-shoulder acoustic guitar model, renowned for its warm, balanced tone and status as a workhorse instrument for countless musicians.
  • C. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • D. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • E. LJ
    LJ is the IATA airline designator used for the South Korean low-cost carrier Jin Air.
  • 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: LJ45
Triple: [Learjet 45, ICAOTypeDesignator, LJ45]
Generated description
LJ45 is the ICAO aircraft type designator for the Learjet 45, a popular mid-size business jet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LJ45
Target entity description: LJ45 is the ICAO aircraft type designator for the Learjet 45, a popular mid-size business jet.
  • A. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • B. J-45
    The J-45 is Gibson’s iconic round-shoulder acoustic guitar model, renowned for its warm, balanced tone and status as a workhorse instrument for countless musicians.
  • C. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • D. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • E. LJ
    LJ is the nickname of Larry Johnson, a former NBA All-Star forward best known for his time with the Charlotte Hornets and New York Knicks in the 1990s.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f62260d6708190808e52935a27e2c1 completed May 2, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69f6230f4c8081908a759efa43b4800b completed May 2, 2026, 4:15 p.m.
Created at: April 8, 2026, 9:52 p.m.