Triple
T2992781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Military College of Canada |
E80994
|
entity |
| Predicate | mottoInFrench |
P4406
|
FINISHED |
| Object | Vérité, Devoir, Vaillance |
—
|
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: Vérité, Devoir, Vaillance | Statement: [Royal Military College of Canada, mottoInFrench, Vérité, Devoir, Vaillance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoInFrench Context triple: [Royal Military College of Canada, mottoInFrench, Vérité, Devoir, Vaillance]
-
A.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
B.
languageOfMotto
chosen
Indicates the language in which a motto is written or expressed.
-
C.
mottoTransliteration
Indicates the representation of a motto’s original text using the characters of another writing system (its transliteration).
-
D.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
E.
mottoInscription
Indicates that a particular motto is inscribed on or associated as an inscription with an entity.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.