Triple
T28009812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Power Nuclear Generating Station |
E707383
|
entity |
| Predicate | unitsInBruceB |
P164006
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Bruce Power Nuclear Generating Station, unitsInBruceB, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unitsInBruceB Context triple: [Bruce Power Nuclear Generating Station, unitsInBruceB, 4]
-
A.
unitsInBruceA
Indicates that the specified units are located within or belong to the entity referred to as BruceA.
-
B.
unitUK
Indicates that one entity uses or is measured in a unit of measure that is specific to or standard within the United Kingdom.
-
C.
USUnit
Indicates that the associated quantity or measurement is expressed using United States customary units (e.g., feet, pounds, gallons) rather than other unit systems.
-
D.
unitComposition
Indicates how smaller units or components are combined or arranged to form a larger, composite unit.
-
E.
basicUnitOf
Indicates that one entity serves as the fundamental or smallest constituent unit from which the other entity is composed or defined.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 8:03 p.m.