Triple
T8832157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penning trap |
E210170
|
entity |
| Predicate | stabilityConditionDependsOn |
P19751
|
FINISHED |
| Object | magnetic field strength |
—
|
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: magnetic field strength | Statement: [Penning trap, stabilityConditionDependsOn, magnetic field strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stabilityConditionDependsOn Context triple: [Penning trap, stabilityConditionDependsOn, magnetic field strength]
-
A.
stabilizedBy
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
B.
stabilityPolicy
Indicates that a policy defines or influences the conditions under which a system, process, or arrangement remains stable over time.
-
C.
stabilityDescription
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
-
D.
contingentOn
chosen
Indicates that the occurrence, validity, or outcome of one event or condition depends on the fulfillment or existence of another.
-
E.
stabilityReason
Indicates the factor, condition, or cause that accounts for why something remains stable or unchanged.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc605005788190a4df1fe317f3056a |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.