Triple
T18127187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EAST |
E433906
|
entity |
| Predicate | magneticFieldOnAxis |
P5337
|
FINISHED |
| Object | 3.5 T |
—
|
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: 3.5 T | Statement: [EAST, magneticFieldOnAxis, 3.5 T]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magneticFieldOnAxis Context triple: [EAST, magneticFieldOnAxis, 3.5 T]
-
A.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
-
B.
magneticFieldStrength
chosen
Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
-
C.
magneticFieldCharacteristic
Indicates a relationship where a magnetic field is associated with or exhibits a specific characteristic or property.
-
D.
hasDirectionOfFieldLines
Indicates that one entity specifies or defines the orientation or direction in which the field lines of another entity are directed.
-
E.
isOnAxis
Indicates that one entity lies directly along a specified axis or reference line defined by another entity or coordinate 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.