Triple
T587791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Physical Lines of Force |
E15196
|
entity |
| Predicate | subdiscipline |
P5461
|
FINISHED |
| Object | electrodynamics |
—
|
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: electrodynamics | Statement: [On Physical Lines of Force, subdiscipline, electrodynamics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdiscipline Context triple: [On Physical Lines of Force, subdiscipline, electrodynamics]
-
A.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
B.
hasSubdiscipline
chosen
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
C.
subtheory
Indicates that one theory is a component, specialization, or restricted part of another, more general theory.
-
D.
subgenre
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
E.
subfamily
Indicates that one taxonomic group is a subfamily within a larger family, representing an intermediate rank in biological classification.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9d1e68819096a9b5e7b2e83d6e |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.