Triple
T35430277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Hong Kong of the South |
E1024036
|
entity |
| Predicate | hasAspectSimilarTo |
P94757
|
FINISHED |
| Object | Hong Kong’s urban landscape |
—
|
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: Hong Kong’s urban landscape | Statement: [Little Hong Kong of the South, hasAspectSimilarTo, Hong Kong’s urban landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAspectSimilarTo Context triple: [Little Hong Kong of the South, hasAspectSimilarTo, Hong Kong’s urban landscape]
-
A.
hasSimilarityTo
chosen
Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
-
B.
hasThematicSimilarityTo
Indicates that two entities share related themes, topics, or conceptual content to a notable degree.
-
C.
hasAspectDistinction
Indicates that one entity is distinguished from another by a particular aspect, feature, or dimension of difference.
-
D.
lessSimilarTo
Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
-
E.
usesAspect
Indicates that one entity employs, adopts, or operates under a particular aspect, perspective, or mode associated with another entity.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.