Triple
T10796406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kai Tak Airport |
E254717
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kowloon City |
E307673
|
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: Kowloon City | Statement: [Kai Tak Airport, near, Kowloon City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kowloon City Context triple: [Kai Tak Airport, near, Kowloon City]
-
A.
Tsuen Wan
Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
-
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.
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
D.
East Kowloon
East Kowloon is a largely urbanized area on the eastern side of Hong Kong’s Kowloon Peninsula, known for its dense residential districts, industrial zones, and major redevelopment projects on former airport and waterfront sites.
-
E.
Kowloon City District
chosen
Kowloon City District is one of the administrative districts of Hong Kong, known for its dense urban environment, rich history, and diverse mix of residential, commercial, and cultural areas.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15499158481908391f411420b19fc |
completed | April 16, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:17 p.m.