Triple
T7624293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingston Canadian Film Festival |
E172584
|
entity |
| Predicate | usesVenues |
P78175
|
FINISHED |
| Object | cinemas in Kingston, Ontario |
—
|
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: cinemas in Kingston, Ontario | Statement: [Kingston Canadian Film Festival, usesVenues, cinemas in Kingston, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVenues Context triple: [Kingston Canadian Film Festival, usesVenues, cinemas in Kingston, Ontario]
-
A.
usesMultipleVenuesIn
Indicates that an entity conducts its activities or events across more than one venue within a specified location or context.
-
B.
homeVenueAlsoUsedBy
Indicates that the venue serving as a home location for one entity is also used as a venue by another entity.
-
C.
willUseExistingVenues
Indicates that the subject plans to utilize venues that already exist rather than constructing or selecting new ones.
-
D.
usualVenueSince
Indicates that a particular venue has been the regular or customary location for something (e.g., an event or activity) starting from a specified point in time.
-
E.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:56 p.m.