Triple
T28401882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platonic letters |
E719412
|
entity |
| Predicate | mainlyPreservedIn |
P2249
|
FINISHED |
| Object | manuscripts of Plato’s works |
—
|
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: manuscripts of Plato’s works | Statement: [Platonic letters, mainlyPreservedIn, manuscripts of Plato’s works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyPreservedIn Context triple: [Platonic letters, mainlyPreservedIn, manuscripts of Plato’s works]
-
A.
preservedAsPartOf
Indicates that something has been kept, maintained, or conserved within a larger whole of which it forms a component or subset.
-
B.
preservedAt
chosen
Indicates that something is kept, maintained, or conserved in a particular place or context.
-
C.
preservedFor
Indicates that something has been kept intact or maintained in a particular state for the benefit, use, or reference of a specified entity or purpose.
-
D.
partlyPreservedAs
Indicates that an entity is only partially preserved or remains in incomplete form within another entity or context.
-
E.
preservedFrom
Indicates that something has been protected or kept safe from a particular source of damage, loss, or alteration.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 1:20 a.m.