Triple
T10412485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air China |
E245425
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Dalian Airlines |
E252165
|
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: Dalian Airlines | Statement: [Air China, hasSubsidiary, Dalian Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalian Airlines Context triple: [Air China, hasSubsidiary, Dalian Airlines]
-
A.
Dalian Airlines
chosen
Dalian Airlines is a Chinese regional airline based in Dalian that operates domestic passenger services as a subsidiary of Air China.
-
B.
Shanghai Airlines
Shanghai Airlines is a Chinese airline based in Shanghai that operates domestic and international passenger flights as a subsidiary of China Eastern Airlines.
-
C.
Donghai Airlines
Donghai Airlines is a Chinese passenger and cargo airline based in Shenzhen that operates domestic and regional flights.
-
D.
Xiamen Airlines
Xiamen Airlines is a major Chinese passenger airline based in Xiamen, Fujian, operating extensive domestic and regional routes, including services across East and Southeast Asia.
-
E.
Hainan Airlines
Hainan Airlines is a major Chinese airline headquartered in Haikou, known for its extensive domestic and international route network and high service quality ratings.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0e17f081908fb16425f65e5808 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc2b06188190ad399e1b5a545aec |
completed | April 10, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:10 p.m.