Triple
T6325666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seal of Maryland |
E141855
|
entity |
| Predicate | reverseMottoTranslation |
P70056
|
FINISHED |
| Object | With favor wilt thou compass us as with a shield |
—
|
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: With favor wilt thou compass us as with a shield | Statement: [Seal of Maryland, reverseMottoTranslation, With favor wilt thou compass us as with a shield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reverseMottoTranslation Context triple: [Seal of Maryland, reverseMottoTranslation, With favor wilt thou compass us as with a shield]
-
A.
translationOfMotto
Indicates that one motto is a translation of another motto in a different language.
-
B.
mottoTransliteration
Indicates the representation of a motto’s original text using the characters of another writing system (its transliteration).
-
C.
mottoOriginal
Indicates that one entity is the original wording or form of another entity’s motto.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
mottoDerivedFrom
Indicates that one motto is derived, adapted, or taken from another source, such as a phrase, text, or earlier motto.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e701ec81908e5eaa0660d01a4b |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:29 p.m.