Triple
T24164564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | effigy of Marianne |
E598933
|
entity |
| Predicate | governingMottoContext |
P59577
|
FINISHED |
| Object | Liberté Égalité Fraternité |
—
|
NE NERFINISHED |
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: Liberté Égalité Fraternité | Statement: [effigy of Marianne, governingMottoContext, Liberté Égalité Fraternité]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingMottoContext Context triple: [effigy of Marianne, governingMottoContext, Liberté Égalité Fraternité]
-
A.
textualMottoContext
chosen
Indicates that a textual motto appears within, or is associated with, a particular contextual source (such as a document, object, or setting) that provides its usage or interpretive background.
-
B.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
C.
nationalMottoType
Indicates that the relationship specifies the type or category of a national motto associated with an entity.
-
D.
nationalMottoConnection
Indicates that one entity serves as the official national motto of the other entity.
-
E.
historicalMotto
Indicates that a phrase served as an official or commonly recognized motto for an entity during a specific historical period.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:32 p.m.