Triple
T13195151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Wan |
E314092
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Tsing Yi |
E827576
|
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: Tsing Yi | Statement: [Ma Wan, near, Tsing Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsing Yi Context triple: [Ma Wan, near, Tsing Yi]
-
A.
Tsing Yi
chosen
Tsing Yi is a major island in Hong Kong known for its dense residential areas, extensive transport links, and key container terminals supporting the city’s port operations.
-
B.
Ho Man Tin
Ho Man Tin is a primarily residential district in Kowloon, Hong Kong, known for its schools, public housing estates, and proximity to major urban centers.
-
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.
Kwun Tong
Kwun Tong is a major urban area in eastern Kowloon, Hong Kong, known for its dense residential neighborhoods, industrial heritage, and rapidly redeveloping commercial and office districts.
-
E.
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.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d20a42c819090319629544fa349 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 9, 2026, 9:16 p.m.