Triple
T2764093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinmetz’s law of hysteresis |
E61292
|
entity |
| Predicate | characteristicExponentRange |
P13474
|
FINISHED |
| Object | n typically between 1.5 and 2.5 |
—
|
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: n typically between 1.5 and 2.5 | Statement: [Steinmetz’s law of hysteresis, characteristicExponentRange, n typically between 1.5 and 2.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicExponentRange Context triple: [Steinmetz’s law of hysteresis, characteristicExponentRange, n typically between 1.5 and 2.5]
-
A.
allowsExponentType
Indicates that one entity permits or supports the use of a specified type for an exponent in an operation or expression.
-
B.
notableExponents
Indicates that certain entities are especially prominent, influential, or exemplary practitioners or representatives of a given field, movement, or activity.
-
C.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
D.
logarithmBaseDetermines
Indicates that the chosen base of a logarithm determines how a quantity is expressed or scaled in logarithmic terms.
-
E.
operationalRange
Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.