Triple
T2126762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope Creek Nuclear Generating Station |
E46443
|
entity |
| Predicate | generates |
P490
|
FINISHED |
| Object | electricity |
—
|
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: electricity | Statement: [Hope Creek Nuclear Generating Station, generates, electricity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generates Context triple: [Hope Creek Nuclear Generating Station, generates, electricity]
-
A.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
B.
generators
Indicates that one entity produces, creates, or brings about another entity or outcome, typically as its source or origin.
-
C.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
coPilotWith
Indicates that two entities jointly serve as pilots or share piloting responsibilities for the same vehicle or mission.
-
E.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb59182081908470f9be97e272c8 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.