Triple
T12137013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassius Dio’s Roman History |
E289082
|
entity |
| Predicate | writtenByOriginOfAuthor |
P55015
|
FINISHED |
| Object | Bithynian Greek |
—
|
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: Bithynian Greek | Statement: [Cassius Dio’s Roman History, writtenByOriginOfAuthor, Bithynian Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenByOriginOfAuthor Context triple: [Cassius Dio’s Roman History, writtenByOriginOfAuthor, Bithynian Greek]
-
A.
originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
B.
authorOrigin
chosen
Indicates that an author has a specific place, region, or country as their origin or background.
-
C.
authorshipInitially
Indicates that an entity is the original or first author/creator of another entity before any subsequent authorship changes or contributions.
-
D.
originalAuthorOfSource
Indicates that an entity is the original creator or author of a given source or work.
-
E.
originalManuscriptBy
Indicates that one entity is the original manuscript created or authored by another entity.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.