Triple
T34390928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossano |
E882699
|
entity |
| Predicate | codexLanguage |
P134227
|
FINISHED |
| Object | Greek (Codex Purpureus Rossanensis) |
—
|
NE NERFINISHED |
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: Greek (Codex Purpureus Rossanensis) | Statement: [Rossano, codexLanguage, Greek (Codex Purpureus Rossanensis)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codexLanguage Context triple: [Rossano, codexLanguage, Greek (Codex Purpureus Rossanensis)]
-
A.
languageOfCodes
Indicates that a particular language is used for or associated with a given set of codes.
-
B.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
C.
languageOfManuscript
chosen
Indicates the language in which a given manuscript is written.
-
D.
codicesFunctionAs
Indicates that certain codices serve a particular role, purpose, or function in relation to something else.
-
E.
ISO639-3CodeOfLanguage
Indicates that one entity is the ISO 639-3 three-letter language code assigned to the language represented by the other 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.