Triple
T25374865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario ministry |
E633030
|
entity |
| Predicate | sectorExamples |
P97586
|
FINISHED |
| Object | finance |
—
|
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: finance | Statement: [Ontario ministry, sectorExamples, finance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorExamples Context triple: [Ontario ministry, sectorExamples, finance]
-
A.
economicSectors
Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
-
B.
sectoralCoverage
chosen
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
-
C.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
D.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
E.
industryExposure
Indicates the extent to which an entity is involved in, affected by, or financially linked to a particular industry or set of industries.
- 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_69f55e591ffc8190aac5b03db15e45da |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 1:38 p.m.