Triple
T5161038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight of the National Order of Quebec |
E116435
|
entity |
| Predicate | officialFrenchName |
P6538
|
FINISHED |
| Object | Chevalier de l’Ordre national du Québec |
—
|
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: Chevalier de l’Ordre national du Québec | Statement: [Knight of the National Order of Quebec, officialFrenchName, Chevalier de l’Ordre national du Québec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialFrenchName Context triple: [Knight of the National Order of Quebec, officialFrenchName, Chevalier de l’Ordre national du Québec]
-
A.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
B.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
C.
corsicanName
Indicates that one entity is the Corsican-language name or designation for another entity.
-
D.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
E.
hasNameInOccitan
Indicates that an entity is associated with a specific name expressed in the Occitan language.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.