Triple
T23120398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton Large Torus |
E576875
|
entity |
| Predicate | confinementMethod |
P150984
|
FINISHED |
| Object | magnetic confinement |
—
|
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: magnetic confinement | Statement: [Princeton Large Torus, confinementMethod, magnetic confinement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confinementMethod Context triple: [Princeton Large Torus, confinementMethod, magnetic confinement]
-
A.
confinementTolerance
Indicates the degree to which an entity can endure or function effectively under restricted, enclosed, or limited-movement conditions.
-
B.
isConfined
Indicates that an entity is restricted to a limited space or area, unable to move freely beyond defined boundaries.
-
C.
confinedPopulation
Indicates that a population is restricted or limited to a specific bounded area or controlled environment.
-
D.
restraintType
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
E.
usesConstriction
Indicates that one entity applies pressure by tightening or squeezing around another entity to restrain, control, or affect it.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.