Triple
T28103666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conseil de la Nation Atikamekw |
E710303
|
entity |
| Predicate | representsOnLevel |
P76450
|
FINISHED |
| Object | provincial government 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: provincial government of Quebec | Statement: [Conseil de la Nation Atikamekw, representsOnLevel, provincial government of Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsOnLevel Context triple: [Conseil de la Nation Atikamekw, representsOnLevel, provincial government of Quebec]
-
A.
representsAtLevel
chosen
Indicates that an entity is present, active, or valid at a specific level within a hierarchy, scale, or layered structure.
-
B.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
C.
representationLevel
Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
-
D.
fourthLevelRepresents
Indicates that one entity serves as a fourth-level representation or abstraction of another within a hierarchical structure.
-
E.
representsPositionOn
Indicates that one entity specifies or defines the spatial or logical position of another entity within a given context.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 27, 2026, 9:06 p.m.