Triple
T20855071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deus nobis haec otia fecit |
E513457
|
entity |
| Predicate | directObjectInLatin |
P73670
|
FINISHED |
| Object | haec otia |
—
|
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: haec otia | Statement: [Deus nobis haec otia fecit, directObjectInLatin, haec otia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directObjectInLatin Context triple: [Deus nobis haec otia fecit, directObjectInLatin, haec otia]
-
A.
openingWordsLatin
Indicates that the opening words of a text, work, or document are expressed in Latin.
-
B.
objectOfVerb
chosen
Indicates that one entity serves as the direct object or recipient of the action expressed by a given verb in a clause.
-
C.
correspondsToLatinWord
Indicates that one element is the equivalent or matching term of another element in Latin.
-
D.
mottoTextLatin
Indicates that the relationship specifies the Latin-language wording of an entity's motto.
-
E.
grammaticalCaseOf_Dei
Indicates that one entity specifies the grammatical case associated with the word or expression 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a7113c819087994bcdfe643bc1 |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.