Triple
T7559041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koreatown (Bloor between Bathurst and Christie) |
E178746
|
entity |
| Predicate | commercialActivityLevel |
P77606
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Koreatown (Bloor between Bathurst and Christie), commercialActivityLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialActivityLevel Context triple: [Koreatown (Bloor between Bathurst and Christie), commercialActivityLevel, high]
-
A.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
B.
commercialAccess
Indicates that an entity is permitted to use or access something for commercial or profit-generating purposes.
-
C.
commercialCategory
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
-
D.
commercialPeak
Indicates the time or period when something (such as a product, artist, or business) achieves its highest level of commercial success or popularity.
-
E.
commercialRole
Indicates that an entity holds a position or function related to commercial activities, such as sales, marketing, or business development, in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dc7d288190a0d08ba704cc3fc2 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.