Triple
T19017337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athabasca oil sands |
E465385
|
entity |
| Predicate | majorIndustryRole |
P117326
|
FINISHED |
| Object | major center of Canada’s petroleum industry |
—
|
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: major center of Canada’s petroleum industry | Statement: [Athabasca oil sands, majorIndustryRole, major center of Canada’s petroleum industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorIndustryRole Context triple: [Athabasca oil sands, majorIndustryRole, major center of Canada’s petroleum industry]
-
A.
majorTradeRole
Indicates that an entity plays a primary or highly significant role in trade activities or commercial exchange within a given context.
-
B.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
C.
hasIndustryRole
chosen
Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
-
D.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
E.
laborMarketRole
Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6dc0f9081909cddc5186603e885 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.