Triple
T19513545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo Wu, Hong Kong |
E488217
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Shenzhen River |
—
|
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: Shenzhen River | Statement: [Lo Wu, Hong Kong, near, Shenzhen River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenzhen River Context triple: [Lo Wu, Hong Kong, near, Shenzhen River]
-
A.
Shenzhen River
chosen
The Shenzhen River is a boundary river in southern China that forms part of the border between Hong Kong and the city of Shenzhen.
-
B.
Huangpu River
The Huangpu River is a significant waterway in eastern China that flows through the heart of Shanghai, dividing the city and serving as a vital shipping and cultural artery.
-
C.
Tuen Mun River
Tuen Mun River is a waterway in Hong Kong’s New Territories that flows through the Tuen Mun district before emptying into Castle Peak Bay.
-
D.
Yuan River
The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
-
E.
Danshui River
Danshui River is a major river in northern Taiwan that flows through Taipei and empties into the Taiwan Strait, known for its scenic waterfronts and historical significance.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63599c17881909a392a6026e45955 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.