Triple
T19170316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cenovus Energy |
E469301
|
entity |
| Predicate | hasRefiningOperations |
P134699
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cenovus Energy, hasRefiningOperations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefiningOperations Context triple: [Cenovus Energy, hasRefiningOperations, yes]
-
A.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
B.
hasRefinement
Indicates that one entity represents a more detailed, specific, or improved version of another entity.
-
C.
hasNotableOperation
Indicates that an entity is associated with a significant or noteworthy operation, activity, or procedure.
-
D.
hasGlobalOperationsIn
Indicates that an entity conducts business or operational activities across multiple countries within the specified region or location.
-
E.
hasGlobalOperations
Indicates that an entity conducts its activities or services across multiple countries or worldwide.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f163c5888190b4880471d17b4f51 |
completed | April 20, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.