Triple
T30098753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matter of Rome |
E764935
|
entity |
| Predicate | adaptationMode |
P2375
|
FINISHED |
| Object | vernacular retelling of Latin sources |
—
|
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: vernacular retelling of Latin sources | Statement: [Matter of Rome, adaptationMode, vernacular retelling of Latin sources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationMode Context triple: [Matter of Rome, adaptationMode, vernacular retelling of Latin sources]
-
A.
adaptationType
chosen
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
B.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
C.
adoptionMode
Indicates the manner or method by which something is adopted, implemented, or taken into use in relation to another entity.
-
D.
adaptationStatus
Indicates the current state or progress of how something has been adapted or adjusted in response to specific conditions, requirements, or contexts.
-
E.
adaptationStyle
Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:08 p.m.