Triple
T2091525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouton–Noble experiment |
E32680
|
entity |
| Predicate | aimedToDetect |
P23062
|
FINISHED |
| Object | torque on a moving charged capacitor |
—
|
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: torque on a moving charged capacitor | Statement: [Trouton–Noble experiment, aimedToDetect, torque on a moving charged capacitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimedToDetect Context triple: [Trouton–Noble experiment, aimedToDetect, torque on a moving charged capacitor]
-
A.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
B.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
C.
aimsToMeasure
chosen
Indicates that one entity is intended or designed to quantify, assess, or evaluate another entity or property.
-
D.
aimedToImplement
Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
-
E.
aimsToSolve
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7626d081908c9c0f18942e128d |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.