Triple
T13710528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wan Chai District |
E328758
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wan Chai |
E328758
|
NE FINISHED |
How this triple was built (2 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: Wan Chai | Statement: [Wan Chai District, contains, Wan Chai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wan Chai Context triple: [Wan Chai District, contains, Wan Chai]
-
A.
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.
-
B.
Wan Chai District
chosen
Wan Chai District is a densely developed commercial and residential area on Hong Kong Island known for its skyscrapers, nightlife, and historic and cultural landmarks.
-
C.
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
D.
Kowloon Tong
Kowloon Tong is an upscale residential and educational neighborhood in Hong Kong known for its low-rise housing, international schools, and proximity to major transport links.
-
E.
Sai Ying Pun
Sai Ying Pun is a historic, densely populated neighborhood on Hong Kong Island known for its mix of traditional shops, trendy cafes, and colonial-era architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 9, 2026, 9:54 p.m.