Triple
T571972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Vincent and the Grenadines |
E13681
|
entity |
| Predicate | nationalMottoTranslation |
P15320
|
FINISHED |
| Object | Peace and Justice |
—
|
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: Peace and Justice | Statement: [Saint Vincent and the Grenadines, nationalMottoTranslation, Peace and Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalMottoTranslation Context triple: [Saint Vincent and the Grenadines, nationalMottoTranslation, Peace and Justice]
-
A.
nationalMottoOf
chosen
Indicates that a phrase or motto is officially adopted as the national motto of a particular country or nation.
-
B.
languageOfMotto
Indicates the language in which a motto is written or expressed.
-
C.
translationOfMotto
Indicates that one motto is a translation of another motto in a different language.
-
D.
isStateMottoOf
Indicates that a phrase or sentence serves as the official state motto of a particular state.
-
E.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b49bad88190bc73d31a317c0ef4 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.