Triple
T18564304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geometric Shapes Extended |
E453721
|
entity |
| Predicate | addsSymbolsBeyond |
P84686
|
FINISHED |
| Object | Geometric Shapes |
—
|
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: Geometric Shapes | Statement: [Geometric Shapes Extended, addsSymbolsBeyond, Geometric Shapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addsSymbolsBeyond Context triple: [Geometric Shapes Extended, addsSymbolsBeyond, Geometric Shapes]
-
A.
providesAdditionalCharactersFor
chosen
Indicates that one entity supplies extra or supplementary characters to be used by another entity or process.
-
B.
usesAdditionalLettersFrom
Indicates that one entity forms or derives its representation by incorporating extra letters taken from another entity beyond those originally present.
-
C.
definesSymbol
Indicates that one entity specifies or establishes another entity as a symbol representing some concept, value, or object.
-
D.
appearsWithSymbol
Indicates that one entity is shown or presented together with a particular symbol in the same visual or contextual setting.
-
E.
hasSymbolNamedAfter
Indicates that one entity has a symbol whose name is derived from or dedicated to 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afd8114819093b57d86f8213311 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.