Triple
T2906667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Territories |
E62781
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tsing Yi |
E309968
|
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: [New Territories, contains, Tsing Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsing Yi Context triple: [New Territories, contains, Tsing Yi]
-
A.
Kowloon
Kowloon is a densely populated urban area of Hong Kong known for its vibrant street life, markets, and skyline facing Victoria Harbour.
-
B.
Yau Ma Tei
Yau Ma Tei is a historic, densely populated urban district in Hong Kong known for its traditional markets, temples, and vibrant street life.
-
C.
Tsing Yi Island
chosen
Tsing Yi Island is a major urbanized island in Hong Kong known for its residential estates, container terminals, and strategic transport links including bridges and highways.
-
D.
Sham Shui Po District
Sham Shui Po District is a densely populated, traditionally working-class area in western Kowloon, Hong Kong, known for its street markets, electronics bazaars, and vibrant local culture.
-
E.
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.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0d0628c81909680af2f0db2ecae |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276cc19b48190a952015c9e501dd6 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 6, 2026, 10:11 p.m.