Triple
T25374874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario ministry |
E633030
|
entity |
| Predicate | serviceRecipients |
P12761
|
FINISHED |
| Object | businesses in 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: businesses in Ontario | Statement: [Ontario ministry, serviceRecipients, businesses in Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceRecipients Context triple: [Ontario ministry, serviceRecipients, businesses in Ontario]
-
A.
organizationRecipient
chosen
Indicates that an organization is the recipient or beneficiary of something provided, sent, or directed by another entity.
-
B.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
-
C.
receivesReferralsFrom
Indicates that one entity is the recipient of referrals that originate from another entity.
-
D.
locationOfRecipients
Indicates the place or geographic area where the intended recipients of something are situated.
-
E.
serviceUser
Indicates that one entity is a user or consumer of a service provided by another entity.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 1:38 p.m.