Triple
T32180478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dictee |
E821964
|
entity |
| Predicate | sectionalFramework |
P173828
|
FINISHED |
| Object | modeled on the Greek muses |
—
|
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: modeled on the Greek muses | Statement: [Dictee, sectionalFramework, modeled on the Greek muses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionalFramework Context triple: [Dictee, sectionalFramework, modeled on the Greek muses]
-
A.
frameworkWithin
Indicates that one framework is contained, defined, or operates conceptually within the scope or structure of another framework.
-
B.
sectionFunction
Indicates the functional role or purpose that a particular section serves within a larger structure or context.
-
C.
frameworkFor
Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning of another entity.
-
D.
frameworkLayer
Indicates a relationship where one framework is organized within, built upon, or conceptually assigned to a particular architectural or conceptual layer.
-
E.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba7cbc708190ab91b828e5ef2976 |
completed | May 3, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:34 a.m.