Triple
T12228575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Salle College |
E291416
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
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.
|
E1005448
|
NE FINISHED |
How this triple was built (4 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: Ho Man Tin | Statement: [La Salle College, locatedIn, Ho Man Tin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ho Man Tin Context triple: [La Salle College, locatedIn, Ho Man Tin]
-
A.
Tsing Yi
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.
Tsuen Wan
Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
-
C.
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
D.
Shau Kei Wan
Shau Kei Wan is a densely populated residential and historic fishing district located on the eastern side of Hong Kong Island.
-
E.
Tseung Kwan O
Tseung Kwan O is a major new town in Hong Kong’s New Territories, known for its high-density residential developments, waterfront promenades, and growing commercial and transport infrastructure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ho Man Tin Triple: [La Salle College, locatedIn, Ho Man Tin]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ho Man Tin Target entity description: 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.
-
A.
Tsing Yi
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.
Tsuen Wan
Tsuen Wan is a major urban town and residential-commercial district in Hong Kong, located along the northwestern shore of Victoria Harbour.
-
C.
Chai Wan
Chai Wan is a residential and industrial district located at the eastern end of Hong Kong Island.
-
D.
Shau Kei Wan
Shau Kei Wan is a densely populated residential and historic fishing district located on the eastern side of Hong Kong Island.
-
E.
Tseung Kwan O
Tseung Kwan O is a major new town in Hong Kong’s New Territories, known for its high-density residential developments, waterfront promenades, and growing commercial and transport infrastructure.
- F. None of above. chosen
Provenance (5 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca34fe88190900c8791c70948b7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68e9fc934819089f68bcc823015da |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f69277d3d88190abce800c01a8026c |
completed | May 3, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6938150608190a61206cefa3eca1e |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 8, 2026, 9:51 p.m.