Triple
T9456352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oersted |
E228023
|
entity |
| Predicate | relationToGauss |
P37405
|
FINISHED |
| Object | in vacuum, 1 oersted corresponds to 1 gauss of magnetic flux density |
—
|
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: in vacuum, 1 oersted corresponds to 1 gauss of magnetic flux density | Statement: [oersted, relationToGauss, in vacuum, 1 oersted corresponds to 1 gauss of magnetic flux density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToGauss Context triple: [oersted, relationToGauss, in vacuum, 1 oersted corresponds to 1 gauss of magnetic flux density]
-
A.
relationToVonNeumann
Indicates a relationship in which one entity is connected or related in some specified way to John von Neumann.
-
B.
zetaRelation
Indicates a specialized, context-dependent association between entities whose exact nature is defined by the specific system or theory using the term "zetaRelation".
-
C.
relatedTheorem
Indicates that one theorem is connected to another through a logical, thematic, or derivational relationship.
-
D.
relatedCurve
Indicates that one curve is associated with or derived from another curve in a defined relational way.
-
E.
relatedByFormula
chosen
Indicates that one entity is mathematically or logically derived from, or connected to, another according to a specific formula.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f8f7e1481909318e473ab4d6460 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:52 p.m.