Triple
T27107195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westinghouse 3-loop PWR |
E686612
|
entity |
| Predicate | geographicDeployment |
P168937
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Westinghouse 3-loop PWR, geographicDeployment, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDeployment Context triple: [Westinghouse 3-loop PWR, geographicDeployment, United States]
-
A.
geographicStrategy
Indicates a relationship where an entity’s actions, plans, or policies are organized or guided according to geographic factors such as location, region, or spatial distribution.
-
B.
geographicReception
Indicates the geographic area or location where something (such as a work, message, or signal) is received, experienced, or has effect.
-
C.
globalDeployment
Indicates that something is deployed, implemented, or made available across multiple countries or worldwide locations.
-
D.
geographicalUsage
Indicates that something is used, applied, or occurs within a particular geographic area or region.
-
E.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 8:51 a.m.