Triple
T13265738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yau Ma Tei |
E315917
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Mong Kok |
E1100790
|
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: Mong Kok | Statement: [Yau Ma Tei, adjacentTo, Mong Kok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mong Kok Context triple: [Yau Ma Tei, adjacentTo, Mong Kok]
-
A.
Mong Kok
chosen
Mong Kok is a densely populated, vibrant commercial and residential area in Kowloon, Hong Kong, known for its bustling street markets, neon-lit shopping streets, and lively urban atmosphere.
-
B.
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
C.
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.
-
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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d445c4848190b5c97bb27be6c749 |
completed | May 10, 2026, 6:53 p.m. |
Created at: April 9, 2026, 9:25 p.m.