Triple
T15438592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian Garden |
E369836
|
entity |
| Predicate | hasCompositionalElement |
P25619
|
FINISHED |
| Object | flat color areas |
—
|
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: flat color areas | Statement: [Tunisian Garden, hasCompositionalElement, flat color areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompositionalElement Context triple: [Tunisian Garden, hasCompositionalElement, flat color areas]
-
A.
hasCompositionType
Indicates that one entity is composed of or formed by another entity in a specific structural or material way.
-
B.
hasSubcomponent
chosen
Indicates that one entity is a constituent part or component of another, larger entity.
-
C.
isComposedIn
Indicates that something is created, written, or formed within a particular context, medium, or framework.
-
D.
hasNotableComposition
Indicates that an entity is associated with a specific composition (e.g., musical, artistic, or written work) that is considered notable or significant.
-
E.
usesElementsOf
Indicates that one entity incorporates, applies, or draws upon components, principles, or features derived from another entity.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.