Triple
T3796445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China United Airlines |
E89780
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
LIANHANG
LIANHANG is the radio callsign used by China United Airlines for air traffic control and communication purposes.
|
E389625
|
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: LIANHANG | Statement: [China United Airlines, callsign, LIANHANG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIANHANG Context triple: [China United Airlines, callsign, LIANHANG]
-
A.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
-
B.
Dongshan Liangjie
Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
-
C.
Longqing
Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
-
D.
Han Shui
Han Shui is the Chinese name for the Han River in Hubei, a major tributary of the Yangtze River and an important waterway in central China.
-
E.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
- 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: LIANHANG Triple: [China United Airlines, callsign, LIANHANG]
Generated description
LIANHANG is the radio callsign used by China United Airlines for air traffic control and communication purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIANHANG Target entity description: LIANHANG is the radio callsign used by China United Airlines for air traffic control and communication purposes.
-
A.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
-
B.
Dongshan Liangjie
Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
-
C.
Longqing
Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
-
D.
Han Shui
Han Shui is the Chinese name for the Han River in Hubei, a major tributary of the Yangtze River and an important waterway in central China.
-
E.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79f09bc8190b7514a11a030eba5 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05ea5e081908c4714ca35aed48b |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f2ed663c8190be431c7aae60259e |
completed | March 14, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f72eba988190acb96b44fc8b7c30 |
completed | March 14, 2026, 5:50 a.m. |
Created at: March 9, 2026, 3:15 p.m.