Triple
T7559050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koreatown (Bloor between Bathurst and Christie) |
E178746
|
entity |
| Predicate | businessHoursPattern |
P36842
|
FINISHED |
| Object | many late-closing businesses |
—
|
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: many late-closing businesses | Statement: [Koreatown (Bloor between Bathurst and Christie), businessHoursPattern, many late-closing businesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessHoursPattern Context triple: [Koreatown (Bloor between Bathurst and Christie), businessHoursPattern, many late-closing businesses]
-
A.
workPattern
chosen
Indicates the typical schedule, structure, or arrangement according to which an entity performs its work or duties.
-
B.
usedInBusinessHours
Indicates that something is utilized or occurs during designated business operating hours.
-
C.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
-
D.
typicalBusinessHourStartLocalTime
Indicates the local time at which a business’s normal operating hours typically begin.
-
E.
hoursOfOperation
Indicates the time periods during which a place or service is open and available for use.
- 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_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. |
Created at: March 27, 2026, 3:50 p.m.