Triple
T13806296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple leaf with Olympic rings |
E331767
|
entity |
| Predicate | primaryShape |
P16409
|
FINISHED |
| Object | stylized maple leaf |
—
|
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: stylized maple leaf | Statement: [Maple leaf with Olympic rings, primaryShape, stylized maple leaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryShape Context triple: [Maple leaf with Olympic rings, primaryShape, stylized maple leaf]
-
A.
baseShape
Indicates that one entity serves as the fundamental or underlying shape or form upon which another entity is defined, derived, or constructed.
-
B.
coreShape
chosen
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
C.
primaryMirrorShape
Indicates that one entity has a primary mirror whose geometric shape or curvature type is specified by the other entity.
-
D.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
E.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.