Triple
T20061843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.Q. |
E499493
|
entity |
| Predicate | honorificOrderRank |
P58942
|
FINISHED |
| Object | Knight rank of the National Order of Quebec |
—
|
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: Knight rank of the National Order of Quebec | Statement: [C.Q., honorificOrderRank, Knight rank of the National Order of Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificOrderRank Context triple: [C.Q., honorificOrderRank, Knight rank of the National Order of Quebec]
-
A.
honorificOrder
chosen
Indicates the relative ranking or sequence of entities according to a system of honorifics or formal precedence.
-
B.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
C.
honorificLevel
Indicates the level of formality or respect expressed toward an entity, typically reflected in language or titles used when addressing or referring to them.
-
D.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
E.
nobleRankInHierarchy
Indicates the relative position or level of a noble title within a structured hierarchy of ranks.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66376f2d4819081b9e1b265650e5b |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.