Triple
T2284149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood North |
E51347
|
entity |
| Predicate | associatedWithIncentives |
P7916
|
FINISHED |
| Object | Canadian film tax credits |
—
|
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: Canadian film tax credits | Statement: [Hollywood North, associatedWithIncentives, Canadian film tax credits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithIncentives Context triple: [Hollywood North, associatedWithIncentives, Canadian film tax credits]
-
A.
typeOfIncentive
chosen
Indicates the specific kind or category of incentive associated with an entity or action.
-
B.
associatedOffering
Indicates a relationship where one offering is linked or connected to another offering as related or contextually relevant.
-
C.
associatedWithCondition
Indicates that an entity has a relevant connection or linkage to a particular condition (such as a disease, state, or circumstance), without specifying the nature or strength of that connection.
-
D.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
-
E.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2445f388190af643878145f8249 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.