Triple
T10699450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flags of Catalonia |
E252232
|
entity |
| Predicate | typicalDesignElement |
P95346
|
FINISHED |
| Object | horizontal stripes |
—
|
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: horizontal stripes | Statement: [Flags of Catalonia, typicalDesignElement, horizontal stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDesignElement Context triple: [Flags of Catalonia, typicalDesignElement, horizontal stripes]
-
A.
typicalStructuralElement
Indicates that one entity is a standard or characteristic structural component commonly found within or forming part of another entity.
-
B.
urbanDesignElement
Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
-
C.
packDesignElement
Indicates that one design element is included within, or forms part of, a packaging design.
-
D.
requiredDesignElement
Indicates that one entity must include, use, or incorporate another entity as a necessary design component or feature.
-
E.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:12 p.m.