Triple
T17947933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleming’s right-hand rule |
E448753
|
entity |
| Predicate | firstFingerRepresents |
P129843
|
FINISHED |
| Object | direction of magnetic field |
—
|
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: direction of magnetic field | Statement: [Fleming’s right-hand rule, firstFingerRepresents, direction of magnetic field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFingerRepresents Context triple: [Fleming’s right-hand rule, firstFingerRepresents, direction of magnetic field]
-
A.
firstPartRepresents
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
B.
digitSymbolForOne
Indicates that something is the written or symbolic representation used to denote the numeric value one.
-
C.
firstLeg
Indicates that one entity represents the initial segment or starting portion of a multi-part journey, sequence, or process involving another entity.
-
D.
firstDigitEncoding
Indicates that one entity encodes or represents the first digit of another entity (such as a number, code, or identifier).
-
E.
digitForFive
Indicates that something represents or corresponds to the numerical digit 5.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afa9cb2481908c95f8c430dcc0aa |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.