Triple
T31844973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Quebec |
E812911
|
entity |
| Predicate | mapleLeavesRepresent |
P33810
|
FINISHED |
| Object | Canada |
—
|
NE NERFINISHED |
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: Canada | Statement: [Coat of arms of Quebec, mapleLeavesRepresent, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapleLeavesRepresent Context triple: [Coat of arms of Quebec, mapleLeavesRepresent, Canada]
-
A.
boLeavesRepresent
chosen
Indicates that one entity’s leaves serve as a symbolic or visual representation of another entity.
-
B.
leaves
Indicates that an entity departs from or goes away from another entity, location, or situation.
-
C.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
D.
foliageSeasonalColor
Indicates the characteristic color that a plant’s foliage takes on during a particular season.
-
E.
foliageCharacteristic
Indicates the specific traits or qualities of an entity’s foliage, such as its type, texture, color, or other distinguishing features.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b03577f88190a30e05f3aa0110c6 |
completed | May 3, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:50 p.m.