Triple
T23669959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalcor Energy |
E584701
|
entity |
| Predicate | oversawAssetType |
P77827
|
FINISHED |
| Object | hydroelectric generation assets |
—
|
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: hydroelectric generation assets | Statement: [Nalcor Energy, oversawAssetType, hydroelectric generation assets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oversawAssetType Context triple: [Nalcor Energy, oversawAssetType, hydroelectric generation assets]
-
A.
overseesAssetClass
chosen
Indicates that one entity has responsibility for supervising, managing, or having authority over a particular asset class.
-
B.
governsAssetType
Indicates that one entity has authority or control over the rules, usage, or management of a particular type or class of asset.
-
C.
ownsAssetType
Indicates that an entity possesses ownership rights over an asset of a specified type.
-
D.
overseesCollectionType
Indicates that one entity has responsibility for supervising, managing, or administering a particular type or category of collection.
-
E.
assetTypeMaintained
Indicates that a particular type or category of asset is kept in proper working condition through maintenance activities.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40dc0ec8190b558e30dbebf491f |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.