Triple

T1258805
Position Surface form Disambiguated ID Type / Status
Subject Japan Airlines E12451 entity
Predicate subsidiary P258 FINISHED
Object J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
E143156 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: J-Air | Statement: [Japan Airlines, subsidiary, J-Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J-Air
Context triple: [Japan Airlines, subsidiary, J-Air]
  • A. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • B. Ramport Aero
    Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
  • C. Aira Force
    Aira Force is a picturesque waterfall in England’s Lake District, renowned for its dramatic cascades, woodland trails, and stone arch bridge.
  • D. Philips Wing
    Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
  • E. Luft
    Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
  • 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: J-Air
Triple: [Japan Airlines, subsidiary, J-Air]
Generated description
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: J-Air
Target entity description: J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • A. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • B. Ramport Aero
    Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
  • C. Aira Force
    Aira Force is a picturesque waterfall in England’s Lake District, renowned for its dramatic cascades, woodland trails, and stone arch bridge.
  • D. Philips Wing
    Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
  • E. Luft
    Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93cdba808190b7d164bb98efe3dc completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94c0e6548190a2d40e3ac1a279ce completed March 7, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69ac9531c2f08190b570fcb7b035ea87 completed March 7, 2026, 9:14 p.m.
Created at: March 1, 2026, 7:50 p.m.