Triple
T23500398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellett Island |
E571821
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Causeway Bay |
—
|
NE NERFINISHED |
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: Causeway Bay | Statement: [Kellett Island, near, Causeway Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Causeway Bay Context triple: [Kellett Island, near, Causeway Bay]
-
A.
Causeway Bay
chosen
Causeway Bay is a bustling commercial and shopping district on Hong Kong Island known for its dense retail centers, neon-lit streets, and vibrant urban atmosphere.
-
B.
Tsim Sha Tsui
Tsim Sha Tsui is a major urban and tourist district in southern Kowloon, Hong Kong, known for its shopping, dining, cultural attractions, and iconic Victoria Harbour waterfront.
-
C.
Lan Kwai Fong
Lan Kwai Fong is a famous nightlife and entertainment district in Hong Kong known for its dense concentration of bars, clubs, and restaurants.
-
D.
Causeway Bay station
Causeway Bay station is a major Mass Transit Railway (MTR) station on Hong Kong Island serving the busy shopping and commercial district of Causeway Bay.
-
E.
Sim Lim Square
Sim Lim Square is a well-known electronics and IT shopping mall in Singapore, famous for its many computer, gadget, and camera retailers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fc37908190af86a01ab85737d6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.