Triple
T4342036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experimental Advanced Superconducting Tokamak |
E97804
|
entity |
| Predicate | toroidalFieldOnAxis |
P22845
|
FINISHED |
| Object | about 3.5 tesla |
—
|
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: about 3.5 tesla | Statement: [Experimental Advanced Superconducting Tokamak, toroidalFieldOnAxis, about 3.5 tesla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toroidalFieldOnAxis Context triple: [Experimental Advanced Superconducting Tokamak, toroidalFieldOnAxis, about 3.5 tesla]
-
A.
magneticField
chosen
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
B.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
C.
magneticFieldStrength
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
-
D.
offAxisAngle
Indicates the angle by which something is rotated or deviates from a defined primary or reference axis.
-
E.
meetsAtPolesWith
Indicates that two entities intersect or come into contact specifically at their polar regions or endpoints.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.