Triple
T37604337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westinghouse 4-loop PWR |
E935605
|
entity |
| Predicate | generationCategory |
P191624
|
FINISHED |
| Object | Generation II nuclear power plant design |
—
|
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: Generation II nuclear power plant design | Statement: [Westinghouse 4-loop PWR, generationCategory, Generation II nuclear power plant design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generationCategory Context triple: [Westinghouse 4-loop PWR, generationCategory, Generation II nuclear power plant design]
-
A.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
B.
generationTechnology
Indicates the technology or method used to generate or produce something (e.g., power, data, or content).
-
C.
fictionalConceptFrom
Indicates that a fictional concept originates from, is introduced in, or is derived from a particular source or work.
-
D.
characterGenerator
Indicates a relationship where an entity produces, defines, or initializes characters or character data for use in another context.
-
E.
genreOfStoryline
Indicates the relationship in which a particular genre characterizes or classifies the storyline of a work.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.