Triple
T30194858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Deo Domo Patriae |
E767597
|
entity |
| Predicate | translatesAs |
P43484
|
FINISHED |
| Object | For God, Home, and Country |
—
|
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: For God, Home, and Country | Statement: [Pro Deo Domo Patriae, translatesAs, For God, Home, and Country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatesAs Context triple: [Pro Deo Domo Patriae, translatesAs, For God, Home, and Country]
-
A.
alsoTranslatedAs
chosen
Indicates that something has an alternative translation or rendering in another language or form.
-
B.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
C.
isTranslatedBy
Indicates that one entity serves as the translator or translating agent responsible for rendering the content of another entity into a different language or form.
-
D.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
E.
mayBeTranslatedTo
Indicates that one entity can potentially be converted or rendered into another entity in a different language or representation through translation.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 29, 2026, 7:29 p.m.