Triple
T2679097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle dialogues of Plato |
E56531
|
entity |
| Predicate | scholarlyClassificationBy |
P3397
|
FINISHED |
| Object | modern Platonic scholarship |
—
|
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: modern Platonic scholarship | Statement: [Middle dialogues of Plato, scholarlyClassificationBy, modern Platonic scholarship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyClassificationBy Context triple: [Middle dialogues of Plato, scholarlyClassificationBy, modern Platonic scholarship]
-
A.
researchClassification
chosen
Indicates that an entity is assigned a specific category or type within a research-related classification scheme.
-
B.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
C.
scholarlyView
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
D.
isClassifiedUnder
Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
-
E.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.