Triple
T383896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathay Pacific |
E8737
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
HK Express
HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
|
E49553
|
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: HK Express | Statement: [Cathay Pacific, subsidiary, HK Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HK Express Context triple: [Cathay Pacific, subsidiary, HK Express]
-
A.
Cathay Pacific
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
-
B.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
C.
China Airlines
China Airlines is the flag carrier of Taiwan, operating an extensive network of international passenger and cargo flights across Asia, Europe, North America, and Oceania.
-
D.
China Eastern Airlines
China Eastern Airlines is a major Chinese airline based in Shanghai that operates extensive domestic and international routes as one of the country’s largest carriers.
-
E.
Korean Air
Korean Air is South Korea’s largest airline and flag carrier, operating extensive international and domestic passenger and cargo services worldwide.
- 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: HK Express Triple: [Cathay Pacific, subsidiary, HK Express]
Generated description
HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HK Express Target entity description: HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
-
A.
Cathay Pacific
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
-
B.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
C.
China Airlines
China Airlines is the flag carrier of Taiwan, operating an extensive network of international passenger and cargo flights across Asia, Europe, North America, and Oceania.
-
D.
China Eastern Airlines
China Eastern Airlines is a major Chinese airline based in Shanghai that operates extensive domestic and international routes as one of the country’s largest carriers.
-
E.
Korean Air
Korean Air is South Korea’s largest airline and flag carrier, operating extensive international and domestic passenger and cargo services worldwide.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4034e9fc88190af3bbd460019c025 |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a404d4bca08190ab26445f233d5d82 |
completed | March 1, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4055b48fc81908a2b7fa1725bbdc4 |
completed | March 1, 2026, 9:22 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.