Triple
T18681541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrologia Graeca |
E456744
|
entity |
| Predicate | containsTranslationsIn |
P52478
|
FINISHED |
| Object | Latin |
—
|
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: Latin | Statement: [Patrologia Graeca, containsTranslationsIn, Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTranslationsIn Context triple: [Patrologia Graeca, containsTranslationsIn, Latin]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
C.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
D.
languageOfTranslations
chosen
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
E.
includesTranslatedWorks
Indicates that one entity contains or encompasses works that have been translated from their original language.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2906ec8190ad8db8e3ae6b2945 |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.