Triple
T26818405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauss normal chron |
E675178
|
entity |
| Predicate | hasMagneticPolarity |
P22289
|
FINISHED |
| Object | normal |
—
|
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: normal | Statement: [Gauss normal chron, hasMagneticPolarity, normal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagneticPolarity Context triple: [Gauss normal chron, hasMagneticPolarity, normal]
-
A.
hasMagneticMoment
Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
-
B.
hasMagneticHeading
Indicates the directional orientation of an entity relative to magnetic north, typically expressed as a magnetic compass bearing.
-
C.
isFerromagnetic
Indicates that a material exhibits ferromagnetism, meaning it can be permanently magnetized and shows strong attraction to magnetic fields due to aligned magnetic domains.
-
D.
magneticFieldCharacteristic
chosen
Indicates a relationship where a magnetic field is associated with or exhibits a specific characteristic or property.
-
E.
magneticField
Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 27, 2026, 4:53 a.m.