Triple
T15474406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Injector at Fermilab |
E376746
|
entity |
| Predicate | hasMagnetType |
P3957
|
FINISHED |
| Object | bending magnets |
—
|
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: bending magnets | Statement: [Main Injector at Fermilab, hasMagnetType, bending magnets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagnetType Context triple: [Main Injector at Fermilab, hasMagnetType, bending magnets]
-
A.
usesMagnetType
chosen
Indicates that one entity employs or operates with a specific type of magnet in its function or configuration.
-
B.
hasMagnetStatus
Indicates that an entity possesses a specific magnet-related state or designation within a given context.
-
C.
hasMagneticMoment
Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
-
D.
hasMagneticHeading
Indicates the directional orientation of an entity relative to magnetic north, typically expressed as a magnetic compass bearing.
-
E.
hasMagSafePort
Indicates that one entity is equipped with or includes a MagSafe charging or power connector port.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.