Triple
T11474845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Et in terra pax |
E271999
|
entity |
| Predicate | textTranslation |
P99481
|
FINISHED |
| Object | And on earth peace |
—
|
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: And on earth peace | Statement: [Et in terra pax, textTranslation, And on earth peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textTranslation Context triple: [Et in terra pax, textTranslation, And on earth peace]
-
A.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
-
B.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
C.
translationMethod
Indicates the technique or process used to translate content from one language or form to another.
-
D.
translationHint
Indicates that one entity provides guidance or suggestions on how another entity should be translated into a different language.
-
E.
translationTargetLanguage
Indicates the language into which content is being or has been translated.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294c8dc48190a515f83c99405a3b |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:36 p.m.