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.