Triple
T33162798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vancouver South |
E848791
|
entity |
| Predicate | isMulticultural |
P38709
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Vancouver South, isMulticultural, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMulticultural Context triple: [Vancouver South, isMulticultural, true]
-
A.
isMulticulturalCity
chosen
Indicates that a city is characterized by the presence and interaction of multiple cultural, ethnic, or linguistic communities.
-
B.
hasMulticulturalTradition
Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
-
C.
isMultilingual
Indicates that an entity can understand and/or communicate in multiple languages.
-
D.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
E.
hasCulturalPerspective
Indicates a relationship where something is understood, interpreted, or presented from a particular cultural viewpoint or frame of reference.
- 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_69f3495b02d08190bb3d366823dffc21 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:28 a.m.