Triple
T31898248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coulomb potential |
E814348
|
entity |
| Predicate | gradientGives |
P172710
|
FINISHED |
| Object | electric field of a point charge |
—
|
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: electric field of a point charge | Statement: [Coulomb potential, gradientGives, electric field of a point charge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradientGives Context triple: [Coulomb potential, gradientGives, electric field of a point charge]
-
A.
averageGradient
Indicates the mean rate of change (slope) of a quantity over a specified interval or region.
-
B.
hasGradient
Indicates that one entity possesses or is characterized by a gradual change in value, intensity, or property across its extent or between two points.
-
C.
usesGradientInformation
Indicates that an entity performs its operation by leveraging gradient (derivative) information, typically to guide optimization or learning steps.
-
D.
averageGradientFromValloireApprox
Indicates the approximate average gradient measured from the location or point referred to as Valloire.
-
E.
hasGradientSection
Indicates that an entity includes a portion or segment where some property changes gradually rather than remaining constant.
- F. None of above. chosen
Provenance (4 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b166b4788190997dc7d7b865a428 |
completed | May 3, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:59 p.m.