Triple
T23908796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITER project |
E601277
|
entity |
| Predicate | designedToroidalField |
P22845
|
FINISHED |
| Object | about 5.3 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 5.3 tesla | Statement: [ITER project, designedToroidalField, about 5.3 tesla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToroidalField Context triple: [ITER project, designedToroidalField, about 5.3 tesla]
-
A.
toroidalFieldCoilsCount
Indicates the number of toroidal field coils associated with or used in a system or device.
-
B.
numberOfPlanarCoils
Indicates the quantity of planar coils associated with or contained in a given entity.
-
C.
magneticConfinementType
Indicates the method or scheme of magnetic confinement used to contain a plasma or charged particles.
-
D.
magneticField
chosen
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
E.
coilType
Indicates the specific kind or configuration of a coil associated with an entity or system.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce92e7688190ac421570e0d6a942 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:37 p.m.