Triple
T9048527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANA Holdings Inc. |
E216821
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | ANA Wings |
E216824
|
NE FINISHED |
How this triple was built (2 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: [ANA Holdings Inc., owns, ANA Wings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANA Wings Context triple: [ANA Holdings Inc., owns, ANA Wings]
-
A.
ANA Wings
chosen
ANA Wings is a Japanese regional airline operating domestic feeder and short-haul services on behalf of All Nippon Airways.
-
B.
Wing
Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
-
C.
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.
-
D.
Albawings
Albawings is an Albanian low-cost airline based in Tirana that operates short-haul passenger flights, primarily connecting Albania with destinations in Europe.
-
E.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc0fd648190b0dd6cf62605b98f |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:09 p.m.