Triple
T27107176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westinghouse 3-loop PWR |
E686612
|
entity |
| Predicate | chemicalShim |
P67837
|
FINISHED |
| Object | dissolved boric acid in primary coolant |
—
|
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: dissolved boric acid in primary coolant | Statement: [Westinghouse 3-loop PWR, chemicalShim, dissolved boric acid in primary coolant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chemicalShim Context triple: [Westinghouse 3-loop PWR, chemicalShim, dissolved boric acid in primary coolant]
-
A.
chemicalComponent
chosen
Indicates that one entity is a constituent chemical part or ingredient of another entity.
-
B.
usesChemistry
Indicates that one entity applies or relies on chemistry, chemical methods, or chemical principles in relation to another entity or context.
-
C.
chemicalForm
Indicates the specific chemical composition or structural variant that characterizes a substance in a given context.
-
D.
commonChemistry
Indicates that two entities share similar or related chemical properties, composition, or behavior.
-
E.
keyChemicalDiscussed
Indicates that a particular chemical substance is a central topic of discussion in a given context or communication.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:51 a.m.