Triple
T17890017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleming’s left-hand rule |
E447289
|
entity |
| Predicate | helpsAvoid |
P17548
|
FINISHED |
| Object | sign errors in direction of force |
—
|
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: sign errors in direction of force | Statement: [Fleming’s left-hand rule, helpsAvoid, sign errors in direction of force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsAvoid Context triple: [Fleming’s left-hand rule, helpsAvoid, sign errors in direction of force]
-
A.
seeksToAvoid
Indicates an entity’s intention or effort to stay away from, prevent, or not experience another entity or situation.
-
B.
designedToAvoid
chosen
Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
-
C.
triedToAvoid
Indicates an entity made an effort or took action to prevent contact with, involvement in, or the occurrence of another entity or situation.
-
D.
especiallyHelpsWhen
Indicates that one entity is particularly beneficial or effective in assisting another entity or situation under certain conditions or circumstances.
-
E.
oftenHelps
Indicates that one entity frequently provides assistance or support to another.
- 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_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. |
Created at: April 10, 2026, 10:18 a.m.