Triple
T7338718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the United States Department of Agriculture |
E169193
|
entity |
| Predicate | emblemMottoLanguage |
P5036
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Flag of the United States Department of Agriculture, emblemMottoLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblemMottoLanguage Context triple: [Flag of the United States Department of Agriculture, emblemMottoLanguage, English]
-
A.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
B.
emblemLanguage
chosen
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
-
C.
languageOfMotto
Indicates the language in which a motto is written or expressed.
-
D.
isMottoOf
Indicates that a phrase or expression serves as the official motto associated with a particular entity.
-
E.
coatOfArmsMotto
Indicates the phrase or motto that appears on or is officially associated with a particular coat of arms.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:04 p.m.