Triple
T5885601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloc Québécois |
E130852
|
entity |
| Predicate | hasRepresentationOnlyIn |
P67269
|
FINISHED |
| Object | Quebec federal ridings |
—
|
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: Quebec federal ridings | Statement: [Bloc Québécois, hasRepresentationOnlyIn, Quebec federal ridings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationOnlyIn Context triple: [Bloc Québécois, hasRepresentationOnlyIn, Quebec federal ridings]
-
A.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
B.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
C.
includesRepresentative
Indicates that one entity contains or encompasses another entity acting as its representative.
-
D.
stateRepresentationIncludes
Indicates that a given state representation contains or encodes another specified element, feature, or component within it.
-
E.
canRepresent
Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
- F. None of above. chosen
Provenance (4 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fdf954c8190ae97a5c9ce40bdfa |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:57 p.m.