Triple
T9242249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pickering Nuclear Generating Station |
E222090
|
entity |
| Predicate | hasWasteType |
P76505
|
FINISHED |
| Object | spent nuclear fuel |
—
|
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: spent nuclear fuel | Statement: [Pickering Nuclear Generating Station, hasWasteType, spent nuclear fuel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWasteType Context triple: [Pickering Nuclear Generating Station, hasWasteType, spent nuclear fuel]
-
A.
typeOfWasteCovered
chosen
Indicates the specific category or kind of waste material that is included or addressed within a given context, agreement, or regulation.
-
B.
wasteOrigin
Indicates that one entity is the original source or point of generation of a particular waste associated with another entity.
-
C.
hasTrashReceptacles
Indicates that one entity provides, contains, or is equipped with trash receptacles for waste disposal in relation to another entity or location.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasTypeOfWreck
Indicates that one entity is classified as a specific type or category of wreck (e.g., shipwreck, car wreck) associated with 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03ec23ec8190993003a826372d40 |
completed | April 1, 2026, 11:39 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.