Triple
T18411612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Route 10 (proposed) |
E441770
|
entity |
| Predicate | boundaryCrossingRelated |
P108638
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Hong Kong Route 10 (proposed), boundaryCrossingRelated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boundaryCrossingRelated Context triple: [Hong Kong Route 10 (proposed), boundaryCrossingRelated, yes]
-
A.
crossedBoundary
Indicates that an entity has moved from one defined area, region, or limit into another, thereby passing across a specified boundary.
-
B.
borderCrossingArea
chosen
Indicates an area specifically designated for crossing a border between two jurisdictions or territories.
-
C.
crossesBorderOf
Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
-
D.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
E.
borderCrossingSuperlative
Indicates that a border crossing is characterized as having an extreme or highest/lowest degree of some measurable property (e.g., busiest, longest, most remote) compared to other border crossings.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a24e130819082b92f98d8d5fa3c |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.