Triple
T12723740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsim Sha Tsui |
E304051
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Harbour City |
E999777
|
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: Harbour City | Statement: [Tsim Sha Tsui, hasPart, Harbour City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbour City Context triple: [Tsim Sha Tsui, hasPart, Harbour City]
-
A.
Harbour City
Harbour City is the coastal British Columbia city of Nanaimo, known for its busy port, waterfront, and maritime character.
-
B.
Harbour City
Harbour City is the nickname of Tema, a major port and industrial city on the Atlantic coast of Ghana.
-
C.
Harbour City shopping complex
chosen
Harbour City shopping complex is one of Hong Kong’s largest and most prominent shopping malls, featuring extensive retail, dining, and entertainment facilities along the Tsim Sha Tsui waterfront.
-
D.
Harbor City
Harbor City is a residential and industrial neighborhood in the Harbor region of Los Angeles, California, known for its proximity to the Port of Los Angeles and its diverse, working-class community.
-
E.
Harbour Square
Harbour Square is a popular waterfront dining and entertainment complex in Manila, Philippines, known for its restaurants, bayside views, and proximity to major cultural landmarks.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e61e7081908dec7958e8bc1125 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:25 p.m.