Triple
T14542719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiaolong |
E341209
|
entity |
| Predicate | supportVessel |
P4688
|
FINISHED |
| Object |
Xiangyanghong 10
Xiangyanghong 10 is a Chinese oceanographic research and support ship best known for serving as the mother vessel for the Jiaolong deep-sea submersible.
|
E1105509
|
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: Xiangyanghong 10 | Statement: [Jiaolong, supportVessel, Xiangyanghong 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiangyanghong 10 Context triple: [Jiaolong, supportVessel, Xiangyanghong 10]
-
A.
Hexie Hao
Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
-
B.
Xinhua Xiang
Xinhua Xiang is a regional variety of the Xiang group of Chinese dialects spoken in parts of Hunan Province.
-
C.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
D.
Xianheng
Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
-
E.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
- 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: Xiangyanghong 10 Triple: [Jiaolong, supportVessel, Xiangyanghong 10]
Generated description
Xiangyanghong 10 is a Chinese oceanographic research and support ship best known for serving as the mother vessel for the Jiaolong deep-sea submersible.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiangyanghong 10 Target entity description: Xiangyanghong 10 is a Chinese oceanographic research and support ship best known for serving as the mother vessel for the Jiaolong deep-sea submersible.
-
A.
Hexie Hao
Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
-
B.
Xinhua Xiang
Xinhua Xiang is a regional variety of the Xiang group of Chinese dialects spoken in parts of Hunan Province.
-
C.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
D.
Xianheng
Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
-
E.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5eb85c8190a0c1696b63ddf8e1 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7d7245808190b30d591407731bd5 |
completed | May 8, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7dfc22008190a2c37bed8fd8d21a |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 10, 2026, 1:22 a.m.