Triple
T38271039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo Wu Control Point |
E1021207
|
entity |
| Predicate | oneOfBusiestBorderCrossingsIn |
P170621
|
FINISHED |
| Object | Hong Kong |
—
|
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: Hong Kong | Statement: [Lo Wu Control Point, oneOfBusiestBorderCrossingsIn, Hong Kong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfBusiestBorderCrossingsIn Context triple: [Lo Wu Control Point, oneOfBusiestBorderCrossingsIn, Hong Kong]
-
A.
highestBorderCrossing
Indicates that one location is the border crossing point with the greatest elevation (or highest altitude) relative to other border crossings between the same regions or entities.
-
B.
nearBorderCrossing
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
C.
nearestInternationalBorderCrossingCountry
Indicates the country in which the closest international border crossing point to a given location is situated.
-
D.
usesBorderCrossing
Indicates that one entity makes use of a specific border crossing point to pass from one jurisdiction or territory to another.
-
E.
isMajorBorderCrossing
chosen
Indicates that a location or route serves as a primary, high-traffic crossing point between two bordering regions or countries.
- F. None of above.
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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.