Triple
T2229671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air China |
E48734
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Shenzhen Airlines |
E53450
|
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: Shenzhen Airlines | Statement: [Air China, owns, Shenzhen Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenzhen Airlines Context triple: [Air China, owns, Shenzhen Airlines]
-
A.
Shenzhen Airlines
chosen
Shenzhen Airlines is a major Chinese carrier based in Shenzhen that operates extensive domestic and regional flights across Asia.
-
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.
Juneyao Air
Juneyao Air is a Chinese full-service airline based in Shanghai that operates domestic and international flights, primarily across Asia and to select long-haul destinations.
-
D.
Mandarin Airlines
Mandarin Airlines is a Taiwanese regional airline that operates domestic and short-haul international flights, primarily serving secondary routes within Taiwan and nearby Asian destinations.
-
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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc069e0ac8190bcda8cba9f5c7a5d |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71ba743081908e2697374e710681 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.