Triple
T17889991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleming’s left-hand rule |
E447289
|
entity |
| Predicate | conventionalCurrent |
P129173
|
FINISHED |
| Object | positive to negative |
—
|
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: positive to negative | Statement: [Fleming’s left-hand rule, conventionalCurrent, positive to negative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conventionalCurrent Context triple: [Fleming’s left-hand rule, conventionalCurrent, positive to negative]
-
A.
currentOrdinary
Indicates that an entity currently holds or is in the state of an ordinary (non-special or non-exceptional) status or role.
-
B.
traditionalSee
Indicates that one entity perceives or views another entity in a conventional or customary manner, following established norms or traditions.
-
C.
associatedCurrent
Indicates a relationship where a particular current is linked or connected to another entity as its relevant or corresponding current.
-
D.
primaryCurrentUse
Indicates the main way something is currently being used or its principal present function.
-
E.
traditionalControl
Indicates a relationship where authority, influence, or regulation is exercised based on long-established customs, norms, or practices rather than formal or modern mechanisms.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7828b481909b645fceb37a7ca3 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:18 a.m.