Triple
T7751467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Island |
E175772
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
|
E688873
|
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: Chai Wan | Statement: [Hong Kong Island, containsSettlement, Chai Wan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chai Wan Context triple: [Hong Kong Island, containsSettlement, Chai Wan]
-
A.
Shau Kei Wan
Shau Kei Wan is a densely populated residential and historic fishing district located on the eastern side of Hong Kong Island.
-
B.
Sheung Wan
Sheung Wan is a historic district on Hong Kong Island known for its blend of traditional Chinese shops, temples, and modern cafes and galleries.
-
C.
Tsuen Wan
Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
-
D.
Yau Ma Tei
Yau Ma Tei is a historic, densely populated urban district in Hong Kong known for its traditional markets, temples, and vibrant street life.
-
E.
Sheung Shui
Sheung Shui is a town in northern Hong Kong known for its residential communities, markets, and role as a transport hub near the border with mainland China.
- 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: Chai Wan Triple: [Hong Kong Island, containsSettlement, Chai Wan]
Generated description
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chai Wan Target entity description: Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
A.
Shau Kei Wan
Shau Kei Wan is a densely populated residential and historic fishing district located on the eastern side of Hong Kong Island.
-
B.
Sheung Wan
Sheung Wan is a historic district on Hong Kong Island known for its blend of traditional Chinese shops, temples, and modern cafes and galleries.
-
C.
Tsuen Wan
Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
-
D.
Yau Ma Tei
Yau Ma Tei is a historic, densely populated urban district in Hong Kong known for its traditional markets, temples, and vibrant street life.
-
E.
Sheung Shui
Sheung Shui is a town in northern Hong Kong known for its residential communities, markets, and role as a transport hub near the border with mainland China.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b382588190ad8dc7138987829a |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e581d4e881908c88d55364a5e014 |
completed | March 29, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69c8e6f678a08190996239b643c0ffa3 |
completed | March 29, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e74688288190bbe769fe266fa37a |
completed | March 29, 2026, 8:48 a.m. |
Created at: March 27, 2026, 4:08 p.m.