Triple

T6363056
Position Surface form Disambiguated ID Type / Status
Subject J-Air E143156 entity
Predicate ICAOcode P419 FINISHED
Object JLJ
JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
 E588122 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: JLJ | Statement: [J-Air, ICAOcode, JLJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JLJ
Context triple: [J-Air, ICAOcode, JLJ]
  • A. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • B. JLT
    JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
  • C. 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.
  • D. L.J.
    L.J. is a comic-relief survivor and ally of the protagonists in the film Resident Evil: Apocalypse, known for his streetwise attitude and humorous one-liners amid the zombie outbreak.
  • E. JLC
    JLC is the commonly used abbreviation for the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • 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: JLJ
Triple: [J-Air, ICAOcode, JLJ]
Generated description
JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JLJ
Target entity description: JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • A. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • B. JLT
    JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
  • C. 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.
  • D. L.J.
    L.J. is a comic-relief survivor and ally of the protagonists in the film Resident Evil: Apocalypse, known for his streetwise attitude and humorous one-liners amid the zombie outbreak.
  • E. JLC
    JLC is the commonly used abbreviation for the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680d51a4819098a6bcd3dfd73be4 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62f2abb7481909a8d6b6a3b07db37 completed March 27, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69c62fcd18a0819089fa5f5912f432aa completed March 27, 2026, 7:20 a.m.
Created at: March 22, 2026, 4:32 p.m.