Triple
T33647210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medieval Lives of Saint George |
E861990
|
entity |
| Predicate | languageOfMedievalVersions |
P201861
|
FINISHED |
| Object | 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: Greek | Statement: [Medieval Lives of Saint George, languageOfMedievalVersions, Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMedievalVersions Context triple: [Medieval Lives of Saint George, languageOfMedievalVersions, Greek]
-
A.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
B.
Chronica_language
Indicates that something is expressed, written, or communicated in the Chronica language.
-
C.
laterTraditionsLanguage
Indicates that later traditions or sources refer to or describe the subject using the specified language.
-
D.
CaxtonEditionLanguage
Indicates the language in which a given Caxton edition is written or published.
-
E.
vernacularLanguagePeriod
Indicates the time span during which a particular vernacular (locally spoken) language was in use or predominant in a given context.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
| PDg | Predicate description generation | batch_6a002ae65e0c81909a5989dd73f027f5 |
completed | May 10, 2026, 6:51 a.m. |
Created at: May 1, 2026, 1:42 a.m.