Triple
T19513537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo Wu, Hong Kong |
E488217
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Lo Wu |
—
|
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: Lo Wu | Statement: [Lo Wu, Hong Kong, romanization, Lo Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lo Wu Context triple: [Lo Wu, Hong Kong, romanization, Lo Wu]
-
A.
Lo Wu
chosen
Lo Wu is a border area in Hong Kong known for its major immigration control point and railway station connecting to mainland China.
-
B.
Luk Keng
Luk Keng is a rural area in Hong Kong’s northeastern New Territories known for its scenic wetlands, traditional villages, and hiking trails overlooking Starling Inlet.
-
C.
Ah Lung
Ah Lung is the bumbling yet formidable martial artist protagonist portrayed by Sammo Hung in the 1978 Hong Kong action-comedy film "Enter the Fat Dragon."
-
D.
Kwai Tsing
Kwai Tsing is an urban district in Hong Kong known for its major container port facilities and mixed industrial-residential areas.
-
E.
Tai Kwun
Tai Kwun is a major heritage and arts complex in Hong Kong that revitalizes the former Central Police Station compound into a cultural, exhibition, and performance hub.
- 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.