Triple
T19513538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo Wu, Hong Kong |
E488217
|
entity |
| Predicate | traditionalChineseName |
P6282
|
FINISHED |
| Object |
羅湖
羅湖是位於香港新界北部、與深圳接壤的重要邊境口岸及交通樞紐地區。
|
E1379518
|
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: 羅湖 | Statement: [Lo Wu, Hong Kong, traditionalChineseName, 羅湖]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 羅湖 Context triple: [Lo Wu, Hong Kong, traditionalChineseName, 羅湖]
-
A.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
-
B.
Sai Kung
Sai Kung is a coastal town and district in eastern Hong Kong known for its fishing villages, seafood restaurants, country parks, and scenic hiking and boating spots.
-
C.
Lam Tsuen
Lam Tsuen is a rural area in Hong Kong’s New Territories best known for its traditional villages and the famous Lam Tsuen Wishing Trees, a popular site for local festivals and cultural tourism.
-
D.
Sok Kwu Wan
Sok Kwu Wan is a traditional fishing village and popular seafood and hiking destination on Lamma Island in Hong Kong.
-
E.
Tuen Mun
Tuen Mun is a major residential and industrial district in the western New Territories of Hong Kong, known for its coastal location, public housing estates, and transport links.
- 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: 羅湖 Triple: [Lo Wu, Hong Kong, traditionalChineseName, 羅湖]
Generated description
羅湖是位於香港新界北部、與深圳接壤的重要邊境口岸及交通樞紐地區。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 羅湖 Target entity description: 羅湖是位於香港新界北部、與深圳接壤的重要邊境口岸及交通樞紐地區。
-
A.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
-
B.
Sai Kung
Sai Kung is a coastal town and district in eastern Hong Kong known for its fishing villages, seafood restaurants, country parks, and scenic hiking and boating spots.
-
C.
Lam Tsuen
Lam Tsuen is a rural area in Hong Kong’s New Territories best known for its traditional villages and the famous Lam Tsuen Wishing Trees, a popular site for local festivals and cultural tourism.
-
D.
Sok Kwu Wan
Sok Kwu Wan is a traditional fishing village and popular seafood and hiking destination on Lamma Island in Hong Kong.
-
E.
Tuen Mun
Tuen Mun is a major residential and industrial district in the western New Territories of Hong Kong, known for its coastal location, public housing estates, and transport links.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63599c17881909a392a6026e45955 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0747235758819086d85c107b187b7e |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747ada7e481909cff02b43e2d902a |
completed | May 15, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0748ac00b48190a72c419f65930659 |
completed | May 15, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:40 p.m.