Triple
T693799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empiricism |
E13852
|
entity |
| Predicate | subtype |
P1244
|
FINISHED |
| Object | classical empiricism |
—
|
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: classical empiricism | Statement: [Empiricism, subtype, classical empiricism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subtype Context triple: [Empiricism, subtype, classical empiricism]
-
A.
subgenre
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
B.
subtitle
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
-
C.
subfamily
Indicates that one taxonomic group is a subfamily within a larger family, representing an intermediate rank in biological classification.
-
D.
subtheory
Indicates that one theory is a component, specialization, or restricted part of another, more general theory.
-
E.
subclassOf
chosen
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b1e1d08190bdd42f57be5c2a6b |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.