Triple
T27107169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westinghouse 3-loop PWR |
E686612
|
entity |
| Predicate | numberOfSteamGenerators |
P112661
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Westinghouse 3-loop PWR, numberOfSteamGenerators, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSteamGenerators Context triple: [Westinghouse 3-loop PWR, numberOfSteamGenerators, 3]
-
A.
generatingUnitCount
chosen
Indicates the number of generating units associated with or involved in a given entity or context.
-
B.
steamGenerationMethod
Indicates the method or process by which steam is produced or generated.
-
C.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
-
D.
plannedNumberOfReactors
Indicates the total number of reactors that are intended or scheduled to be built, installed, or operated for a given facility or project.
-
E.
numberOfHydroelectricStations
Indicates the quantity of hydroelectric power stations associated with a given entity.
- 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_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: April 27, 2026, 8:51 a.m.