Triple
T20572310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seabrook Station Nuclear Power Plant |
E505130
|
entity |
| Predicate | originalNumberOfPlannedUnits |
P51752
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Seabrook Station Nuclear Power Plant, originalNumberOfPlannedUnits, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNumberOfPlannedUnits Context triple: [Seabrook Station Nuclear Power Plant, originalNumberOfPlannedUnits, 2]
-
A.
numberPlanned
chosen
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
B.
plannedLength
Indicates the intended or scheduled duration or size of something as determined in advance, rather than its actual or realized extent.
-
C.
numberOfRulesPlanned
Indicates the planned or intended count of rules associated with an entity or process.
-
D.
numberOfUnits
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
E.
plannedIn
Indicates that an event, activity, or process is scheduled or arranged to occur within a specific context, timeframe, or plan.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a906f0508190ac698233738f4452 |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.