Triple
T1928104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Nippon Airways |
E40877
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
ANA Wings
ANA Wings is a Japanese regional airline operating domestic feeder and short-haul services on behalf of All Nippon Airways.
|
E216824
|
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: ANA Wings | Statement: [All Nippon Airways, hasSubsidiary, ANA Wings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANA Wings Context triple: [All Nippon Airways, hasSubsidiary, ANA Wings]
-
A.
Wing
Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
-
B.
Wing
Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
-
C.
Thunderwolves
Thunderwolves is the name of the varsity athletic teams representing Lakehead University in Canadian university sports.
-
D.
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.
-
E.
Wild Wing
Wild Wing is the anthropomorphic duck mascot of the NHL's Anaheim Ducks, known for his energetic in-game antics and appearances at team events.
- 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: ANA Wings Triple: [All Nippon Airways, hasSubsidiary, ANA Wings]
Generated description
ANA Wings is a Japanese regional airline operating domestic feeder and short-haul services on behalf of All Nippon Airways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANA Wings Target entity description: ANA Wings is a Japanese regional airline operating domestic feeder and short-haul services on behalf of All Nippon Airways.
-
A.
Wing
Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
-
B.
Wing
Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
-
C.
Thunderwolves
Thunderwolves is the name of the varsity athletic teams representing Lakehead University in Canadian university sports.
-
D.
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.
-
E.
Wild Wing
Wild Wing is the anthropomorphic duck mascot of the NHL's Anaheim Ducks, known for his energetic in-game antics and appearances at team events.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb26593308190835863b760449d04 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3eb5d2c8190b5afd16a822bf0e4 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf4e94b5081909d4010612d81b917 |
completed | March 8, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf60463d88190896cedb2b45a67ed |
completed | March 8, 2026, 10:19 p.m. |
Created at: March 4, 2026, 7:35 p.m.